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  "author": "Tianbao Yang",
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  "author": "Tianbao Yang",
            
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  "defined_in": "https://doi.org/10.48550/arXiv.1504.03991",
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  "defined_in": "https://doi.org/10.48550/arXiv.1504.03991",
            
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  "doi": "10.57702/hhn2pr06",
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  "doi": "10.57702/hhn2pr06",
            
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  "doi_date_published": "2024-12-16",
            
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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": "Lijun Zhang",
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      "extra_author": "Lijun Zhang",
            
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    },
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    {
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      "extra_author": "Rong Jin",
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      "extra_author": "Rong Jin",
            
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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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    {
            
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      "extra_author": "Shenghuo Zhu",
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      "extra_author": "Shenghuo Zhu",
            
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      "orcid": ""
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      "orcid": ""
            
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      "description": "",
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      "description": "",
            
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      "display_name": "Text Classification",
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      "display_name": "Text Classification",
            
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      "name": "text-classification",
            
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      "title": "Text Classification"
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      "title": "Text Classification"
            
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  "name": "dual-sparse-regularized-randomized-reduction",
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  "name": "dual-sparse-regularized-randomized-reduction",
            
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  "notes": "The paper proposes dual-sparse regularized randomized 
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  "notes": "The paper proposes dual-sparse regularized randomized 
            
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reduction methods for classi\ufb01cation. The dataset used in the 
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reduction methods for classi\ufb01cation. The dataset used in the 
            
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paper is the RCV1-binary dataset.",
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paper is the RCV1-binary dataset.",
            
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