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{
            
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  "access_rights": "",
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  "access_rights": "",
            
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  "author": "Dianhui Wang",
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  "author": "Dianhui Wang",
            
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  "author_email": "",
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  "author_email": "",
            
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  "citation": [],
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  "citation": [],
            
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  "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700",
            
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  "defined_in": "https://doi.org/10.1109/TCYB.2017.2734043",
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  "defined_in": "https://doi.org/10.1109/TCYB.2017.2734043",
            
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  "doi": "10.57702/yucjnrdx",
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  "doi": "10.57702/yucjnrdx",
            
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  "doi_date_published": null,
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  "doi_date_published": "2024-12-16",
            
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  "doi_publisher": "TIB",
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  "doi_publisher": "TIB",
            
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  "extra_authors": [
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  "extra_authors": [
            
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    {
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    {
            
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      "extra_author": "Ming Li",
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      "extra_author": "Ming Li",
            
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      "orcid": ""
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      "orcid": ""
            
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    }
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  ],
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    {
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      "description": "",
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      "description": "",
            
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      "display_name": "Function Approximation",
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      "display_name": "Function Approximation",
            
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      "name": "function-approximation",
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      "name": "function-approximation",
            
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      "title": "Function Approximation"
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      "title": "Function Approximation"
            
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    },
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    {
            
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      "description": "",
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      "description": "",
            
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      "display_name": "Regression",
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      "display_name": "Regression",
            
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      "image_display_url": "",
            
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      "name": "regression",
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      "name": "regression",
            
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      "title": "Regression"
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      "title": "Regression"
            
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    }
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    }
            
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  ],
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  ],
            
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  "id": "3bc2e4b9-2533-4ea7-88a4-296693fca734",
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  "metadata_created": "2024-12-16T20:04:28.102367",
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  "metadata_created": "2024-12-16T20:04:28.102367",
            
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  "metadata_modified": "2024-12-16T20:04:28.473771",
            
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  "name": "db-1",
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  "name": "db-1",
            
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  "notes": "The dataset used in this paper is a regression problem, 
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  "notes": "The dataset used in this paper is a regression problem, 
            
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and it is a function approximation example, that is, DB 1 was 
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and it is a function approximation example, that is, DB 1 was 
            
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generated by a real-valued function [27]: f (x) = 
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generated by a real-valued function [27]: f (x) = 
            
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0.2e\u2212(10x\u22124)2 + 0.5e\u2212(80x\u221240)2 + 
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0.2e\u2212(10x\u22124)2 + 0.5e\u2212(80x\u221240)2 + 
            
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0.3e\u2212(80x\u221220)2, x \u2208 [0, 1].",
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0.3e\u2212(80x\u221220)2, x \u2208 [0, 1].",
            
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    "approval_status": "approved",
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    "approval_status": "approved",
            
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distributions based on DCAT.",
            
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  "title": "DB 1",
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  "title": "DB 1",
            
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  "type": "dataset",
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  "version": ""
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  "version": ""
            
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}
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}