Changes
On December 2, 2024 at 10:19:30 PM UTC,
admin:
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Changed value of field
doi_status
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in Synthetic data -
Changed value of field
doi_date_published
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in Synthetic data -
Added resource Original Metadata to Synthetic data
| f | 1 | { | f | 1 | { |
| 2 | "access_rights": "", | 2 | "access_rights": "", | ||
| 3 | "author": "Yoeri Poels", | 3 | "author": "Yoeri Poels", | ||
| 4 | "author_email": "", | 4 | "author_email": "", | ||
| 5 | "citation": [ | 5 | "citation": [ | ||
| 6 | "https://doi.org/10.48550/arXiv.2004.11969", | 6 | "https://doi.org/10.48550/arXiv.2004.11969", | ||
| 7 | "https://doi.org/10.48550/arXiv.2108.13581", | 7 | "https://doi.org/10.48550/arXiv.2108.13581", | ||
| 8 | "https://doi.org/10.48550/arXiv.1309.6847", | 8 | "https://doi.org/10.48550/arXiv.1309.6847", | ||
| 9 | "https://doi.org/10.48550/arXiv.1502.03466", | 9 | "https://doi.org/10.48550/arXiv.1502.03466", | ||
| 10 | "https://doi.org/10.48550/arXiv.1411.1804", | 10 | "https://doi.org/10.48550/arXiv.1411.1804", | ||
| 11 | "https://doi.org/10.48550/arXiv.1703.02111", | 11 | "https://doi.org/10.48550/arXiv.1703.02111", | ||
| 12 | "https://doi.org/10.48550/arXiv.2202.01841", | 12 | "https://doi.org/10.48550/arXiv.2202.01841", | ||
| 13 | "https://doi.org/10.48550/arXiv.2003.03462", | 13 | "https://doi.org/10.48550/arXiv.2003.03462", | ||
| 14 | "https://doi.org/10.48550/arXiv.2104.01714", | 14 | "https://doi.org/10.48550/arXiv.2104.01714", | ||
| 15 | "https://doi.org/10.48550/arXiv.1611.00035", | 15 | "https://doi.org/10.48550/arXiv.1611.00035", | ||
| 16 | "https://doi.org/10.48550/arXiv.1610.08749", | 16 | "https://doi.org/10.48550/arXiv.1610.08749", | ||
| 17 | "https://doi.org/10.48550/arXiv.1609.08221", | 17 | "https://doi.org/10.48550/arXiv.1609.08221", | ||
| 18 | "https://doi.org/10.48550/arXiv.1709.02357", | 18 | "https://doi.org/10.48550/arXiv.1709.02357", | ||
| 19 | "https://doi.org/10.48550/arXiv.2105.07066", | 19 | "https://doi.org/10.48550/arXiv.2105.07066", | ||
| 20 | "https://doi.org/10.48550/arXiv.2306.01204", | 20 | "https://doi.org/10.48550/arXiv.2306.01204", | ||
| 21 | "https://doi.org/10.48550/arXiv.2108.09159" | 21 | "https://doi.org/10.48550/arXiv.2108.09159" | ||
| 22 | ], | 22 | ], | ||
| 23 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | 23 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | ||
| 24 | "defined_in": "https://doi.org/10.48550/arXiv.1706.04646", | 24 | "defined_in": "https://doi.org/10.48550/arXiv.1706.04646", | ||
| 25 | "doi": "10.57702/ud58iifq", | 25 | "doi": "10.57702/ud58iifq", | ||
| n | 26 | "doi_date_published": null, | n | 26 | "doi_date_published": "2024-12-02", |
| 27 | "doi_publisher": "TIB", | 27 | "doi_publisher": "TIB", | ||
| n | 28 | "doi_status": false, | n | 28 | "doi_status": true, |
| 29 | "domain": "https://service.tib.eu/ldmservice", | 29 | "domain": "https://service.tib.eu/ldmservice", | ||
| 30 | "extra_authors": [ | 30 | "extra_authors": [ | ||
| 31 | { | 31 | { | ||
| 32 | "extra_author": "Vlado Menkovski", | 32 | "extra_author": "Vlado Menkovski", | ||
| 33 | "orcid": "" | 33 | "orcid": "" | ||
| 34 | } | 34 | } | ||
| 35 | ], | 35 | ], | ||
| 36 | "groups": [ | 36 | "groups": [ | ||
| 37 | { | 37 | { | ||
| 38 | "description": "", | 38 | "description": "", | ||
| 39 | "display_name": "Brain Imaging", | 39 | "display_name": "Brain Imaging", | ||
| 40 | "id": "f213da18-89af-4cae-89b8-958fbff29550", | 40 | "id": "f213da18-89af-4cae-89b8-958fbff29550", | ||
| 41 | "image_display_url": "", | 41 | "image_display_url": "", | ||
| 42 | "name": "brain-imaging", | 42 | "name": "brain-imaging", | ||
| 43 | "title": "Brain Imaging" | 43 | "title": "Brain Imaging" | ||
| 44 | }, | 44 | }, | ||
| 45 | { | 45 | { | ||
| 46 | "description": "", | 46 | "description": "", | ||
| 47 | "display_name": "Clustering", | 47 | "display_name": "Clustering", | ||
| 48 | "id": "20ed4da8-7a35-429f-92a0-c7f30914289f", | 48 | "id": "20ed4da8-7a35-429f-92a0-c7f30914289f", | ||
| 49 | "image_display_url": "", | 49 | "image_display_url": "", | ||
| 50 | "name": "clustering", | 50 | "name": "clustering", | ||
| 51 | "title": "Clustering" | 51 | "title": "Clustering" | ||
| 52 | }, | 52 | }, | ||
| 53 | { | 53 | { | ||
| 54 | "description": "", | 54 | "description": "", | ||
| 55 | "display_name": "Computer Vision", | 55 | "display_name": "Computer Vision", | ||
| 56 | "id": "d09caf7c-26c7-4e4d-bb8e-49476a90ba25", | 56 | "id": "d09caf7c-26c7-4e4d-bb8e-49476a90ba25", | ||
| 57 | "image_display_url": "", | 57 | "image_display_url": "", | ||
| 58 | "name": "computer-vision", | 58 | "name": "computer-vision", | ||
| 59 | "title": "Computer Vision" | 59 | "title": "Computer Vision" | ||
| 60 | }, | 60 | }, | ||
| 61 | { | 61 | { | ||
| 62 | "description": "", | 62 | "description": "", | ||
| 63 | "display_name": "Dimensionality Reduction", | 63 | "display_name": "Dimensionality Reduction", | ||
| 64 | "id": "331b1280-324e-4d4d-841d-8da03185ebdc", | 64 | "id": "331b1280-324e-4d4d-841d-8da03185ebdc", | ||
| 65 | "image_display_url": "", | 65 | "image_display_url": "", | ||
| 66 | "name": "dimensionality-reduction", | 66 | "name": "dimensionality-reduction", | ||
| 67 | "title": "Dimensionality Reduction" | 67 | "title": "Dimensionality Reduction" | ||
| 68 | }, | 68 | }, | ||
| 69 | { | 69 | { | ||
| 70 | "description": "", | 70 | "description": "", | ||
| 71 | "display_name": "Finite element simulation", | 71 | "display_name": "Finite element simulation", | ||
| 72 | "id": "3a42b50e-4670-45da-a6f6-5dd1204d8b11", | 72 | "id": "3a42b50e-4670-45da-a6f6-5dd1204d8b11", | ||
| 73 | "image_display_url": "", | 73 | "image_display_url": "", | ||
| 74 | "name": "finite-element-simulation", | 74 | "name": "finite-element-simulation", | ||
| 75 | "title": "Finite element simulation" | 75 | "title": "Finite element simulation" | ||
| 76 | }, | 76 | }, | ||
| 77 | { | 77 | { | ||
| 78 | "description": "", | 78 | "description": "", | ||
| 79 | "display_name": "Gaussian Mixture Model", | 79 | "display_name": "Gaussian Mixture Model", | ||
| 80 | "id": "300ec123-7e29-449b-a398-1174f59d391e", | 80 | "id": "300ec123-7e29-449b-a398-1174f59d391e", | ||
| 81 | "image_display_url": "", | 81 | "image_display_url": "", | ||
| 82 | "name": "gaussian-mixture-model", | 82 | "name": "gaussian-mixture-model", | ||
| 83 | "title": "Gaussian Mixture Model" | 83 | "title": "Gaussian Mixture Model" | ||
| 84 | }, | 84 | }, | ||
| 85 | { | 85 | { | ||
| 86 | "description": "", | 86 | "description": "", | ||
| 87 | "display_name": "Graph Signal Processing", | 87 | "display_name": "Graph Signal Processing", | ||
| 88 | "id": "3e9f4974-44c0-4011-bfa2-1f89b2c898db", | 88 | "id": "3e9f4974-44c0-4011-bfa2-1f89b2c898db", | ||
| 89 | "image_display_url": "", | 89 | "image_display_url": "", | ||
| 90 | "name": "graph-signal-processing", | 90 | "name": "graph-signal-processing", | ||
| 91 | "title": "Graph Signal Processing" | 91 | "title": "Graph Signal Processing" | ||
| 92 | }, | 92 | }, | ||
| 93 | { | 93 | { | ||
| 94 | "description": "", | 94 | "description": "", | ||
| 95 | "display_name": "Graphical Models", | 95 | "display_name": "Graphical Models", | ||
| 96 | "id": "349c2763-5e96-4584-88d9-79695e54c6be", | 96 | "id": "349c2763-5e96-4584-88d9-79695e54c6be", | ||
| 97 | "image_display_url": "", | 97 | "image_display_url": "", | ||
| 98 | "name": "graphical-models", | 98 | "name": "graphical-models", | ||
| 99 | "title": "Graphical Models" | 99 | "title": "Graphical Models" | ||
| 100 | }, | 100 | }, | ||
| 101 | { | 101 | { | ||
| 102 | "description": "", | 102 | "description": "", | ||
| 103 | "display_name": "Machine Learning", | 103 | "display_name": "Machine Learning", | ||
| 104 | "id": "1d8623c9-adbd-4f91-be1e-53847c4ac32a", | 104 | "id": "1d8623c9-adbd-4f91-be1e-53847c4ac32a", | ||
| 105 | "image_display_url": "", | 105 | "image_display_url": "", | ||
| 106 | "name": "machine-learning", | 106 | "name": "machine-learning", | ||
| 107 | "title": "Machine Learning" | 107 | "title": "Machine Learning" | ||
| 108 | }, | 108 | }, | ||
| 109 | { | 109 | { | ||
| 110 | "description": "", | 110 | "description": "", | ||
| 111 | "display_name": "Multi-Label Classification", | 111 | "display_name": "Multi-Label Classification", | ||
| 112 | "id": "6f9e0de4-7c26-404c-af3c-2f4cca3ff39b", | 112 | "id": "6f9e0de4-7c26-404c-af3c-2f4cca3ff39b", | ||
| 113 | "image_display_url": "", | 113 | "image_display_url": "", | ||
| 114 | "name": "multi-label-classification", | 114 | "name": "multi-label-classification", | ||
| 115 | "title": "Multi-Label Classification" | 115 | "title": "Multi-Label Classification" | ||
| 116 | }, | 116 | }, | ||
| 117 | { | 117 | { | ||
| 118 | "description": "", | 118 | "description": "", | ||
| 119 | "display_name": "Robotics", | 119 | "display_name": "Robotics", | ||
| 120 | "id": "31298f52-0c2b-478b-8b92-4817262302cb", | 120 | "id": "31298f52-0c2b-478b-8b92-4817262302cb", | ||
| 121 | "image_display_url": "", | 121 | "image_display_url": "", | ||
| 122 | "name": "robotics", | 122 | "name": "robotics", | ||
| 123 | "title": "Robotics" | 123 | "title": "Robotics" | ||
| 124 | }, | 124 | }, | ||
| 125 | { | 125 | { | ||
| 126 | "description": "", | 126 | "description": "", | ||
| 127 | "display_name": "Simulation", | 127 | "display_name": "Simulation", | ||
| 128 | "id": "b5e2d9c7-7af3-484f-a5b9-bc9a435bfde4", | 128 | "id": "b5e2d9c7-7af3-484f-a5b9-bc9a435bfde4", | ||
| 129 | "image_display_url": "", | 129 | "image_display_url": "", | ||
| 130 | "name": "simulation", | 130 | "name": "simulation", | ||
| 131 | "title": "Simulation" | 131 | "title": "Simulation" | ||
| 132 | }, | 132 | }, | ||
| 133 | { | 133 | { | ||
| 134 | "description": "", | 134 | "description": "", | ||
| 135 | "display_name": "Synthetic data", | 135 | "display_name": "Synthetic data", | ||
| 136 | "id": "811b488a-c719-4335-b1f5-20ffcb5b1bb4", | 136 | "id": "811b488a-c719-4335-b1f5-20ffcb5b1bb4", | ||
| 137 | "image_display_url": "", | 137 | "image_display_url": "", | ||
| 138 | "name": "synthetic-data", | 138 | "name": "synthetic-data", | ||
| 139 | "title": "Synthetic data" | 139 | "title": "Synthetic data" | ||
| 140 | }, | 140 | }, | ||
| 141 | { | 141 | { | ||
| 142 | "description": "", | 142 | "description": "", | ||
| 143 | "display_name": "Time Series Analysis", | 143 | "display_name": "Time Series Analysis", | ||
| 144 | "id": "c0b2d680-8a2d-4a70-8cea-3de77e468832", | 144 | "id": "c0b2d680-8a2d-4a70-8cea-3de77e468832", | ||
| 145 | "image_display_url": "", | 145 | "image_display_url": "", | ||
| 146 | "name": "time-series-analysis", | 146 | "name": "time-series-analysis", | ||
| 147 | "title": "Time Series Analysis" | 147 | "title": "Time Series Analysis" | ||
| 148 | }, | 148 | }, | ||
| 149 | { | 149 | { | ||
| 150 | "description": "", | 150 | "description": "", | ||
| 151 | "display_name": "Uncertainty quantification", | 151 | "display_name": "Uncertainty quantification", | ||
| 152 | "id": "2e31c34a-e34c-465a-a766-85452f4de334", | 152 | "id": "2e31c34a-e34c-465a-a766-85452f4de334", | ||
| 153 | "image_display_url": "", | 153 | "image_display_url": "", | ||
| 154 | "name": "uncertainty-quantification", | 154 | "name": "uncertainty-quantification", | ||
| 155 | "title": "Uncertainty quantification" | 155 | "title": "Uncertainty quantification" | ||
| 156 | } | 156 | } | ||
| 157 | ], | 157 | ], | ||
| 158 | "id": "194206d2-4153-4a97-b3d0-a949797bb5a9", | 158 | "id": "194206d2-4153-4a97-b3d0-a949797bb5a9", | ||
| 159 | "isopen": false, | 159 | "isopen": false, | ||
| 160 | "landing_page": "https://github.com/yoeripoels/vce", | 160 | "landing_page": "https://github.com/yoeripoels/vce", | ||
| 161 | "license_title": null, | 161 | "license_title": null, | ||
| 162 | "link_orkg": "", | 162 | "link_orkg": "", | ||
| 163 | "metadata_created": "2024-12-02T22:19:28.615127", | 163 | "metadata_created": "2024-12-02T22:19:28.615127", | ||
| n | 164 | "metadata_modified": "2024-12-02T22:19:28.615134", | n | 164 | "metadata_modified": "2024-12-02T22:19:29.316475", |
| 165 | "name": "synthetic-data", | 165 | "name": "synthetic-data", | ||
| 166 | "notes": "Synthetic data generated by following the similar setup as | 166 | "notes": "Synthetic data generated by following the similar setup as | ||
| 167 | in [9], [29]. The data samples {x, y} on local node i are generated | 167 | in [9], [29]. The data samples {x, y} on local node i are generated | ||
| 168 | according to the model y = argmax(softmax(wx + b)), x \u2208 R60, w | 168 | according to the model y = argmax(softmax(wx + b)), x \u2208 R60, w | ||
| 169 | \u2208 R10\u00d760, b \u2208 R10. We set w, b \u223c N(0, 1). For the | 169 | \u2208 R10\u00d760, b \u2208 R10. We set w, b \u223c N(0, 1). For the | ||
| 170 | data on i.i.d. nodes, x follows the same distribution N(0, \u03a3), | 170 | data on i.i.d. nodes, x follows the same distribution N(0, \u03a3), | ||
| 171 | where \u03a3 is diagonal with \u03a3r, r = r\u22121.2. For the data | 171 | where \u03a3 is diagonal with \u03a3r, r = r\u22121.2. For the data | ||
| 172 | samples on non-i.i.d. node i, x \u223c N(oi, \u03a3), each element in | 172 | samples on non-i.i.d. node i, x \u223c N(oi, \u03a3), each element in | ||
| 173 | the mean vector oi is drawn from N(0, 1), oi \u223c N(0, \u03c7).", | 173 | the mean vector oi is drawn from N(0, 1), oi \u223c N(0, \u03c7).", | ||
| n | 174 | "num_resources": 0, | n | 174 | "num_resources": 1, |
| 175 | "num_tags": 36, | 175 | "num_tags": 36, | ||
| 176 | "organization": { | 176 | "organization": { | ||
| 177 | "approval_status": "approved", | 177 | "approval_status": "approved", | ||
| 178 | "created": "2024-11-25T12:11:38.292601", | 178 | "created": "2024-11-25T12:11:38.292601", | ||
| 179 | "description": "", | 179 | "description": "", | ||
| 180 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 180 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
| 181 | "image_url": "", | 181 | "image_url": "", | ||
| 182 | "is_organization": true, | 182 | "is_organization": true, | ||
| 183 | "name": "no-organization", | 183 | "name": "no-organization", | ||
| 184 | "state": "active", | 184 | "state": "active", | ||
| 185 | "title": "No Organization", | 185 | "title": "No Organization", | ||
| 186 | "type": "organization" | 186 | "type": "organization" | ||
| 187 | }, | 187 | }, | ||
| 188 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 188 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
| 189 | "private": false, | 189 | "private": false, | ||
| 190 | "relationships_as_object": [], | 190 | "relationships_as_object": [], | ||
| 191 | "relationships_as_subject": [], | 191 | "relationships_as_subject": [], | ||
| t | 192 | "resources": [], | t | 192 | "resources": [ |
| 193 | { | ||||
| 194 | "cache_last_updated": null, | ||||
| 195 | "cache_url": null, | ||||
| 196 | "created": "2024-12-02T22:29:38", | ||||
| 197 | "data": [ | ||||
| 198 | "dcterms:title", | ||||
| 199 | "dcterms:accessRights", | ||||
| 200 | "dcterms:creator", | ||||
| 201 | "dcterms:description", | ||||
| 202 | "dcterms:issued", | ||||
| 203 | "dcterms:language", | ||||
| 204 | "dcterms:identifier", | ||||
| 205 | "dcat:theme", | ||||
| 206 | "dcterms:type", | ||||
| 207 | "dcat:keyword", | ||||
| 208 | "dcat:landingPage", | ||||
| 209 | "dcterms:hasVersion", | ||||
| 210 | "dcterms:format", | ||||
| 211 | "mls:task", | ||||
| 212 | "datacite:isDescribedBy" | ||||
| 213 | ], | ||||
| 214 | "description": "The json representation of the dataset with its | ||||
| 215 | distributions based on DCAT.", | ||||
| 216 | "format": "JSON", | ||||
| 217 | "hash": "", | ||||
| 218 | "id": "8b72ad3b-76af-4681-aa5e-c18eb11de989", | ||||
| 219 | "last_modified": "2024-12-02T22:19:29.303517", | ||||
| 220 | "metadata_modified": "2024-12-02T22:19:29.319373", | ||||
| 221 | "mimetype": "application/json", | ||||
| 222 | "mimetype_inner": null, | ||||
| 223 | "name": "Original Metadata", | ||||
| 224 | "package_id": "194206d2-4153-4a97-b3d0-a949797bb5a9", | ||||
| 225 | "position": 0, | ||||
| 226 | "resource_type": null, | ||||
| 227 | "size": 2989, | ||||
| 228 | "state": "active", | ||||
| 229 | "url": | ||||
| 230 | resource/8b72ad3b-76af-4681-aa5e-c18eb11de989/download/metadata.json", | ||||
| 231 | "url_type": "upload" | ||||
| 232 | } | ||||
| 233 | ], | ||||
| 193 | "services_used_list": "", | 234 | "services_used_list": "", | ||
| 194 | "state": "active", | 235 | "state": "active", | ||
| 195 | "tags": [ | 236 | "tags": [ | ||
| 196 | { | 237 | { | ||
| 197 | "display_name": "Beta", | 238 | "display_name": "Beta", | ||
| 198 | "id": "a8d59c98-fb28-4de2-95c5-245773890ba4", | 239 | "id": "a8d59c98-fb28-4de2-95c5-245773890ba4", | ||
| 199 | "name": "Beta", | 240 | "name": "Beta", | ||
| 200 | "state": "active", | 241 | "state": "active", | ||
| 201 | "vocabulary_id": null | 242 | "vocabulary_id": null | ||
| 202 | }, | 243 | }, | ||
| 203 | { | 244 | { | ||
| 204 | "display_name": "Copy memory problem", | 245 | "display_name": "Copy memory problem", | ||
| 205 | "id": "6794115b-4bf7-48b9-a283-be3f78e42cf9", | 246 | "id": "6794115b-4bf7-48b9-a283-be3f78e42cf9", | ||
| 206 | "name": "Copy memory problem", | 247 | "name": "Copy memory problem", | ||
| 207 | "state": "active", | 248 | "state": "active", | ||
| 208 | "vocabulary_id": null | 249 | "vocabulary_id": null | ||
| 209 | }, | 250 | }, | ||
| 210 | { | 251 | { | ||
| 211 | "display_name": "Differential Privacy", | 252 | "display_name": "Differential Privacy", | ||
| 212 | "id": "9cb11303-6bc7-470b-8b52-3f265afce75a", | 253 | "id": "9cb11303-6bc7-470b-8b52-3f265afce75a", | ||
| 213 | "name": "Differential Privacy", | 254 | "name": "Differential Privacy", | ||
| 214 | "state": "active", | 255 | "state": "active", | ||
| 215 | "vocabulary_id": null | 256 | "vocabulary_id": null | ||
| 216 | }, | 257 | }, | ||
| 217 | { | 258 | { | ||
| 218 | "display_name": "Feature-level clustering", | 259 | "display_name": "Feature-level clustering", | ||
| 219 | "id": "29480a2e-ba23-44ab-bf9d-0f196af07056", | 260 | "id": "29480a2e-ba23-44ab-bf9d-0f196af07056", | ||
| 220 | "name": "Feature-level clustering", | 261 | "name": "Feature-level clustering", | ||
| 221 | "state": "active", | 262 | "state": "active", | ||
| 222 | "vocabulary_id": null | 263 | "vocabulary_id": null | ||
| 223 | }, | 264 | }, | ||
| 224 | { | 265 | { | ||
| 225 | "display_name": "Gamma", | 266 | "display_name": "Gamma", | ||
| 226 | "id": "463f98c4-5dcc-4709-869e-e21e9dad8f10", | 267 | "id": "463f98c4-5dcc-4709-869e-e21e9dad8f10", | ||
| 227 | "name": "Gamma", | 268 | "name": "Gamma", | ||
| 228 | "state": "active", | 269 | "state": "active", | ||
| 229 | "vocabulary_id": null | 270 | "vocabulary_id": null | ||
| 230 | }, | 271 | }, | ||
| 231 | { | 272 | { | ||
| 232 | "display_name": "Gaussian Mixture Model", | 273 | "display_name": "Gaussian Mixture Model", | ||
| 233 | "id": "afe1dc28-0693-480d-be08-a3ef2c9eb23a", | 274 | "id": "afe1dc28-0693-480d-be08-a3ef2c9eb23a", | ||
| 234 | "name": "Gaussian Mixture Model", | 275 | "name": "Gaussian Mixture Model", | ||
| 235 | "state": "active", | 276 | "state": "active", | ||
| 236 | "vocabulary_id": null | 277 | "vocabulary_id": null | ||
| 237 | }, | 278 | }, | ||
| 238 | { | 279 | { | ||
| 239 | "display_name": "Gaussian process", | 280 | "display_name": "Gaussian process", | ||
| 240 | "id": "a547b3a1-01da-4731-a5a2-f92a9a667281", | 281 | "id": "a547b3a1-01da-4731-a5a2-f92a9a667281", | ||
| 241 | "name": "Gaussian process", | 282 | "name": "Gaussian process", | ||
| 242 | "state": "active", | 283 | "state": "active", | ||
| 243 | "vocabulary_id": null | 284 | "vocabulary_id": null | ||
| 244 | }, | 285 | }, | ||
| 245 | { | 286 | { | ||
| 246 | "display_name": "Graphical Models", | 287 | "display_name": "Graphical Models", | ||
| 247 | "id": "26d62a69-71de-499d-9b39-a04023fe0e46", | 288 | "id": "26d62a69-71de-499d-9b39-a04023fe0e46", | ||
| 248 | "name": "Graphical Models", | 289 | "name": "Graphical Models", | ||
| 249 | "state": "active", | 290 | "state": "active", | ||
| 250 | "vocabulary_id": null | 291 | "vocabulary_id": null | ||
| 251 | }, | 292 | }, | ||
| 252 | { | 293 | { | ||
| 253 | "display_name": "Machine learning", | 294 | "display_name": "Machine learning", | ||
| 254 | "id": "7c8050e7-2e86-4a96-aebe-6c582621940d", | 295 | "id": "7c8050e7-2e86-4a96-aebe-6c582621940d", | ||
| 255 | "name": "Machine learning", | 296 | "name": "Machine learning", | ||
| 256 | "state": "active", | 297 | "state": "active", | ||
| 257 | "vocabulary_id": null | 298 | "vocabulary_id": null | ||
| 258 | }, | 299 | }, | ||
| 259 | { | 300 | { | ||
| 260 | "display_name": "Multi-label classification", | 301 | "display_name": "Multi-label classification", | ||
| 261 | "id": "d4e5a262-a723-47a7-935a-c733134de173", | 302 | "id": "d4e5a262-a723-47a7-935a-c733134de173", | ||
| 262 | "name": "Multi-label classification", | 303 | "name": "Multi-label classification", | ||
| 263 | "state": "active", | 304 | "state": "active", | ||
| 264 | "vocabulary_id": null | 305 | "vocabulary_id": null | ||
| 265 | }, | 306 | }, | ||
| 266 | { | 307 | { | ||
| 267 | "display_name": "Poisson", | 308 | "display_name": "Poisson", | ||
| 268 | "id": "2b7a38e0-c7a2-48a7-8e72-c7e342d85b62", | 309 | "id": "2b7a38e0-c7a2-48a7-8e72-c7e342d85b62", | ||
| 269 | "name": "Poisson", | 310 | "name": "Poisson", | ||
| 270 | "state": "active", | 311 | "state": "active", | ||
| 271 | "vocabulary_id": null | 312 | "vocabulary_id": null | ||
| 272 | }, | 313 | }, | ||
| 273 | { | 314 | { | ||
| 274 | "display_name": "Simulation", | 315 | "display_name": "Simulation", | ||
| 275 | "id": "0eafcef7-9068-449f-9656-4caa6fae3f8f", | 316 | "id": "0eafcef7-9068-449f-9656-4caa6fae3f8f", | ||
| 276 | "name": "Simulation", | 317 | "name": "Simulation", | ||
| 277 | "state": "active", | 318 | "state": "active", | ||
| 278 | "vocabulary_id": null | 319 | "vocabulary_id": null | ||
| 279 | }, | 320 | }, | ||
| 280 | { | 321 | { | ||
| 281 | "display_name": "Synthetic Data", | 322 | "display_name": "Synthetic Data", | ||
| 282 | "id": "3acddc74-a4df-4bb0-8962-ea0a27c72454", | 323 | "id": "3acddc74-a4df-4bb0-8962-ea0a27c72454", | ||
| 283 | "name": "Synthetic Data", | 324 | "name": "Synthetic Data", | ||
| 284 | "state": "active", | 325 | "state": "active", | ||
| 285 | "vocabulary_id": null | 326 | "vocabulary_id": null | ||
| 286 | }, | 327 | }, | ||
| 287 | { | 328 | { | ||
| 288 | "display_name": "Synthetic data", | 329 | "display_name": "Synthetic data", | ||
| 289 | "id": "61b714ce-435e-4f7d-89c8-d37aa9d1c178", | 330 | "id": "61b714ce-435e-4f7d-89c8-d37aa9d1c178", | ||
| 290 | "name": "Synthetic data", | 331 | "name": "Synthetic data", | ||
| 291 | "state": "active", | 332 | "state": "active", | ||
| 292 | "vocabulary_id": null | 333 | "vocabulary_id": null | ||
| 293 | }, | 334 | }, | ||
| 294 | { | 335 | { | ||
| 295 | "display_name": "System identi\ufb01cation", | 336 | "display_name": "System identi\ufb01cation", | ||
| 296 | "id": "0220d15d-66db-40f2-938c-ddf9b5c8c71b", | 337 | "id": "0220d15d-66db-40f2-938c-ddf9b5c8c71b", | ||
| 297 | "name": "System identi\ufb01cation", | 338 | "name": "System identi\ufb01cation", | ||
| 298 | "state": "active", | 339 | "state": "active", | ||
| 299 | "vocabulary_id": null | 340 | "vocabulary_id": null | ||
| 300 | }, | 341 | }, | ||
| 301 | { | 342 | { | ||
| 302 | "display_name": "TSC algorithm", | 343 | "display_name": "TSC algorithm", | ||
| 303 | "id": "43c5047b-fa7e-4735-928b-d18798ea9b75", | 344 | "id": "43c5047b-fa7e-4735-928b-d18798ea9b75", | ||
| 304 | "name": "TSC algorithm", | 345 | "name": "TSC algorithm", | ||
| 305 | "state": "active", | 346 | "state": "active", | ||
| 306 | "vocabulary_id": null | 347 | "vocabulary_id": null | ||
| 307 | }, | 348 | }, | ||
| 308 | { | 349 | { | ||
| 309 | "display_name": "Time series", | 350 | "display_name": "Time series", | ||
| 310 | "id": "8707448c-d5d3-45e3-be91-98cf58577d77", | 351 | "id": "8707448c-d5d3-45e3-be91-98cf58577d77", | ||
| 311 | "name": "Time series", | 352 | "name": "Time series", | ||
| 312 | "state": "active", | 353 | "state": "active", | ||
| 313 | "vocabulary_id": null | 354 | "vocabulary_id": null | ||
| 314 | }, | 355 | }, | ||
| 315 | { | 356 | { | ||
| 316 | "display_name": "Translation-invariant", | 357 | "display_name": "Translation-invariant", | ||
| 317 | "id": "af1f21d8-e25f-4b36-a7bb-af8c23f8e7c8", | 358 | "id": "af1f21d8-e25f-4b36-a7bb-af8c23f8e7c8", | ||
| 318 | "name": "Translation-invariant", | 359 | "name": "Translation-invariant", | ||
| 319 | "state": "active", | 360 | "state": "active", | ||
| 320 | "vocabulary_id": null | 361 | "vocabulary_id": null | ||
| 321 | }, | 362 | }, | ||
| 322 | { | 363 | { | ||
| 323 | "display_name": "Tree structured models", | 364 | "display_name": "Tree structured models", | ||
| 324 | "id": "422b2786-2d6d-4ff9-9056-3a6116cc0573", | 365 | "id": "422b2786-2d6d-4ff9-9056-3a6116cc0573", | ||
| 325 | "name": "Tree structured models", | 366 | "name": "Tree structured models", | ||
| 326 | "state": "active", | 367 | "state": "active", | ||
| 327 | "vocabulary_id": null | 368 | "vocabulary_id": null | ||
| 328 | }, | 369 | }, | ||
| 329 | { | 370 | { | ||
| 330 | "display_name": "computer vision", | 371 | "display_name": "computer vision", | ||
| 331 | "id": "f650b4e3-9955-49b0-ba7b-2d302a990978", | 372 | "id": "f650b4e3-9955-49b0-ba7b-2d302a990978", | ||
| 332 | "name": "computer vision", | 373 | "name": "computer vision", | ||
| 333 | "state": "active", | 374 | "state": "active", | ||
| 334 | "vocabulary_id": null | 375 | "vocabulary_id": null | ||
| 335 | }, | 376 | }, | ||
| 336 | { | 377 | { | ||
| 337 | "display_name": "concept", | 378 | "display_name": "concept", | ||
| 338 | "id": "5a907301-68eb-410b-ba16-d91422e754b1", | 379 | "id": "5a907301-68eb-410b-ba16-d91422e754b1", | ||
| 339 | "name": "concept", | 380 | "name": "concept", | ||
| 340 | "state": "active", | 381 | "state": "active", | ||
| 341 | "vocabulary_id": null | 382 | "vocabulary_id": null | ||
| 342 | }, | 383 | }, | ||
| 343 | { | 384 | { | ||
| 344 | "display_name": "dataset", | 385 | "display_name": "dataset", | ||
| 345 | "id": "ce5ad030-ca3d-47e6-abd1-5c92a2806f1b", | 386 | "id": "ce5ad030-ca3d-47e6-abd1-5c92a2806f1b", | ||
| 346 | "name": "dataset", | 387 | "name": "dataset", | ||
| 347 | "state": "active", | 388 | "state": "active", | ||
| 348 | "vocabulary_id": null | 389 | "vocabulary_id": null | ||
| 349 | }, | 390 | }, | ||
| 350 | { | 391 | { | ||
| 351 | "display_name": "finite element simulation", | 392 | "display_name": "finite element simulation", | ||
| 352 | "id": "6cd4815c-5dcb-499a-812e-95d12f16e171", | 393 | "id": "6cd4815c-5dcb-499a-812e-95d12f16e171", | ||
| 353 | "name": "finite element simulation", | 394 | "name": "finite element simulation", | ||
| 354 | "state": "active", | 395 | "state": "active", | ||
| 355 | "vocabulary_id": null | 396 | "vocabulary_id": null | ||
| 356 | }, | 397 | }, | ||
| 357 | { | 398 | { | ||
| 358 | "display_name": "graph-smooth", | 399 | "display_name": "graph-smooth", | ||
| 359 | "id": "ac93cf8a-8936-4a49-89ee-95b0c2ce742c", | 400 | "id": "ac93cf8a-8936-4a49-89ee-95b0c2ce742c", | ||
| 360 | "name": "graph-smooth", | 401 | "name": "graph-smooth", | ||
| 361 | "state": "active", | 402 | "state": "active", | ||
| 362 | "vocabulary_id": null | 403 | "vocabulary_id": null | ||
| 363 | }, | 404 | }, | ||
| 364 | { | 405 | { | ||
| 365 | "display_name": "grossly-corrupted", | 406 | "display_name": "grossly-corrupted", | ||
| 366 | "id": "4f09d708-c716-4f54-bc9f-f11bf97399fd", | 407 | "id": "4f09d708-c716-4f54-bc9f-f11bf97399fd", | ||
| 367 | "name": "grossly-corrupted", | 408 | "name": "grossly-corrupted", | ||
| 368 | "state": "active", | 409 | "state": "active", | ||
| 369 | "vocabulary_id": null | 410 | "vocabulary_id": null | ||
| 370 | }, | 411 | }, | ||
| 371 | { | 412 | { | ||
| 372 | "display_name": "heterogeneous material parameters", | 413 | "display_name": "heterogeneous material parameters", | ||
| 373 | "id": "e497aa01-952f-4937-880e-e265d7071c85", | 414 | "id": "e497aa01-952f-4937-880e-e265d7071c85", | ||
| 374 | "name": "heterogeneous material parameters", | 415 | "name": "heterogeneous material parameters", | ||
| 375 | "state": "active", | 416 | "state": "active", | ||
| 376 | "vocabulary_id": null | 417 | "vocabulary_id": null | ||
| 377 | }, | 418 | }, | ||
| 378 | { | 419 | { | ||
| 379 | "display_name": "high-dimensional", | 420 | "display_name": "high-dimensional", | ||
| 380 | "id": "ed657af3-11f9-4ec1-b421-2d4c35bb93b8", | 421 | "id": "ed657af3-11f9-4ec1-b421-2d4c35bb93b8", | ||
| 381 | "name": "high-dimensional", | 422 | "name": "high-dimensional", | ||
| 382 | "state": "active", | 423 | "state": "active", | ||
| 383 | "vocabulary_id": null | 424 | "vocabulary_id": null | ||
| 384 | }, | 425 | }, | ||
| 385 | { | 426 | { | ||
| 386 | "display_name": "i.i.d. data", | 427 | "display_name": "i.i.d. data", | ||
| 387 | "id": "17e7e770-36fe-43e4-b2aa-683ab5e8bd55", | 428 | "id": "17e7e770-36fe-43e4-b2aa-683ab5e8bd55", | ||
| 388 | "name": "i.i.d. data", | 429 | "name": "i.i.d. data", | ||
| 389 | "state": "active", | 430 | "state": "active", | ||
| 390 | "vocabulary_id": null | 431 | "vocabulary_id": null | ||
| 391 | }, | 432 | }, | ||
| 392 | { | 433 | { | ||
| 393 | "display_name": "image", | 434 | "display_name": "image", | ||
| 394 | "id": "2750bf30-5ae4-4ae8-bfef-5a168733376b", | 435 | "id": "2750bf30-5ae4-4ae8-bfef-5a168733376b", | ||
| 395 | "name": "image", | 436 | "name": "image", | ||
| 396 | "state": "active", | 437 | "state": "active", | ||
| 397 | "vocabulary_id": null | 438 | "vocabulary_id": null | ||
| 398 | }, | 439 | }, | ||
| 399 | { | 440 | { | ||
| 400 | "display_name": "machine learning", | 441 | "display_name": "machine learning", | ||
| 401 | "id": "9e42784b-6ee7-47e8-a69a-28b8c510212b", | 442 | "id": "9e42784b-6ee7-47e8-a69a-28b8c510212b", | ||
| 402 | "name": "machine learning", | 443 | "name": "machine learning", | ||
| 403 | "state": "active", | 444 | "state": "active", | ||
| 404 | "vocabulary_id": null | 445 | "vocabulary_id": null | ||
| 405 | }, | 446 | }, | ||
| 406 | { | 447 | { | ||
| 407 | "display_name": "non-homogeneous Poisson process", | 448 | "display_name": "non-homogeneous Poisson process", | ||
| 408 | "id": "17b5862b-c763-4693-a700-7db8d83008bd", | 449 | "id": "17b5862b-c763-4693-a700-7db8d83008bd", | ||
| 409 | "name": "non-homogeneous Poisson process", | 450 | "name": "non-homogeneous Poisson process", | ||
| 410 | "state": "active", | 451 | "state": "active", | ||
| 411 | "vocabulary_id": null | 452 | "vocabulary_id": null | ||
| 412 | }, | 453 | }, | ||
| 413 | { | 454 | { | ||
| 414 | "display_name": "non-i.i.d. data", | 455 | "display_name": "non-i.i.d. data", | ||
| 415 | "id": "4953944a-c449-4360-ab9b-329f27138f2b", | 456 | "id": "4953944a-c449-4360-ab9b-329f27138f2b", | ||
| 416 | "name": "non-i.i.d. data", | 457 | "name": "non-i.i.d. data", | ||
| 417 | "state": "active", | 458 | "state": "active", | ||
| 418 | "vocabulary_id": null | 459 | "vocabulary_id": null | ||
| 419 | }, | 460 | }, | ||
| 420 | { | 461 | { | ||
| 421 | "display_name": "robotics", | 462 | "display_name": "robotics", | ||
| 422 | "id": "67a95a0a-dadc-477b-914a-0d659a29d2b7", | 463 | "id": "67a95a0a-dadc-477b-914a-0d659a29d2b7", | ||
| 423 | "name": "robotics", | 464 | "name": "robotics", | ||
| 424 | "state": "active", | 465 | "state": "active", | ||
| 425 | "vocabulary_id": null | 466 | "vocabulary_id": null | ||
| 426 | }, | 467 | }, | ||
| 427 | { | 468 | { | ||
| 428 | "display_name": "synthetic data", | 469 | "display_name": "synthetic data", | ||
| 429 | "id": "f08e3559-1ee2-4a31-adc3-f9ecfa5fe045", | 470 | "id": "f08e3559-1ee2-4a31-adc3-f9ecfa5fe045", | ||
| 430 | "name": "synthetic data", | 471 | "name": "synthetic data", | ||
| 431 | "state": "active", | 472 | "state": "active", | ||
| 432 | "vocabulary_id": null | 473 | "vocabulary_id": null | ||
| 433 | }, | 474 | }, | ||
| 434 | { | 475 | { | ||
| 435 | "display_name": "uncertainty quantification", | 476 | "display_name": "uncertainty quantification", | ||
| 436 | "id": "db917de6-5010-47c6-86a8-9796d5f3ca88", | 477 | "id": "db917de6-5010-47c6-86a8-9796d5f3ca88", | ||
| 437 | "name": "uncertainty quantification", | 478 | "name": "uncertainty quantification", | ||
| 438 | "state": "active", | 479 | "state": "active", | ||
| 439 | "vocabulary_id": null | 480 | "vocabulary_id": null | ||
| 440 | }, | 481 | }, | ||
| 441 | { | 482 | { | ||
| 442 | "display_name": "variances", | 483 | "display_name": "variances", | ||
| 443 | "id": "bd86f97c-b464-40a1-bcba-f3ff9ae69658", | 484 | "id": "bd86f97c-b464-40a1-bcba-f3ff9ae69658", | ||
| 444 | "name": "variances", | 485 | "name": "variances", | ||
| 445 | "state": "active", | 486 | "state": "active", | ||
| 446 | "vocabulary_id": null | 487 | "vocabulary_id": null | ||
| 447 | } | 488 | } | ||
| 448 | ], | 489 | ], | ||
| 449 | "title": "Synthetic data", | 490 | "title": "Synthetic data", | ||
| 450 | "type": "dataset", | 491 | "type": "dataset", | ||
| 451 | "version": "" | 492 | "version": "" | ||
| 452 | } | 493 | } |