{"id":"https://openalex.org/W7101038783","doi":null,"title":"arXiv Manuscript No.1306.6677 Supersparse Linear Integer Models for Interpretable Classification","display_name":"arXiv Manuscript No.1306.6677 Supersparse Linear Integer Models for Interpretable Classification","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W7101038783"},"language":"en","primary_location":{"id":"pmh:oai:CiteSeerX.psu:10.1.1.767.1446","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.767.1446","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://arxiv.org/pdf/1306.6677.pdf","raw_type":"text"},"volume":null,"type":"preprint","indexed_in":[],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5040537492","display_name":"Berk Ustun","orcid":"https://orcid.org/0000-0001-5188-3155","observed_orcids":["https://orcid.org/0000-0001-5188-3155"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Berk Ustun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073315722","display_name":"Stefano Trac\u00e0","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Stefano Traca","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5040468715","display_name":"Cynthia D Rudin","orcid":"https://orcid.org/0000-0003-4283-2780","observed_orcids":["https://orcid.org/0000-0003-4283-2780"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cynthia Rudin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9707000255584717,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9707000255584717,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.005400000140070915,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.0032999999821186066,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/interpretable-classification","display_name":"interpretable classification","score":0.8220000267028809},{"id":"https://openalex.org/keywords/scoring-system","display_name":"scoring system","score":0.9670000076293945},{"id":"https://openalex.org/keywords/l0-regularization","display_name":"L0 regularization","score":0.7820000052452087},{"id":"https://openalex.org/keywords/sparse-modeling","display_name":"sparse models","score":0.6420000195503235},{"id":"https://openalex.org/keywords/discrete-optimization","display_name":"discrete optimization","score":0.8309999704360962},{"id":"https://openalex.org/keywords/medical-classification","display_name":"medical classification","score":0.7490000128746033},{"id":"https://openalex.org/keywords/criminology","display_name":"criminology","score":0.9850000143051147}],"concepts":[{"id":"https://openalex.org/C97137487","wikidata":"https://www.wikidata.org/wiki/Q729138","display_name":"Integer (computer science)","level":2,"score":0.6572999954223633},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6248000264167786},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5159000158309937},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5065000057220459},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43290001153945923},{"id":"https://openalex.org/C56086750","wikidata":"https://www.wikidata.org/wiki/Q6042592","display_name":"Integer programming","level":2,"score":0.42179998755455017},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39489999413490295},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.392300009727478},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3831999897956848},{"id":"https://openalex.org/C163175372","wikidata":"https://www.wikidata.org/wiki/Q3339222","display_name":"Linear model","level":2,"score":0.3732999861240387},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3637999892234802},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.3212999999523163},{"id":"https://openalex.org/C41045048","wikidata":"https://www.wikidata.org/wiki/Q202843","display_name":"Linear programming","level":2,"score":0.29120001196861267},{"id":"https://openalex.org/C6802819","wikidata":"https://www.wikidata.org/wiki/Q1072174","display_name":"Linear system","level":2,"score":0.25429999828338623},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.25049999356269836}],"mesh":[],"locations_count":1,"locations":[{"id":"pmh:oai:CiteSeerX.psu:10.1.1.767.1446","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.767.1446","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://arxiv.org/pdf/1306.6677.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W1957375299","https://openalex.org/W1575933603","https://openalex.org/W7098593368","https://openalex.org/W2164878629","https://openalex.org/W1556803204","https://openalex.org/W4285190920","https://openalex.org/W7126099567","https://openalex.org/W2990575156","https://openalex.org/W2798857668","https://openalex.org/W7152587185"],"abstract_inverted_index":{"Abstract":[0],"Scoring":[1],"systems":[2,45,106],"are":[3,25,30,117,118],"classification":[4,126],"models":[5,24,127],"that":[6,46,65,115],"only":[7],"require":[8],"users":[9],"to":[10,19,42,70,80,90,124],"add,":[11],"subtract":[12],"and":[13,32,49,87,100,111,113,120],"multiply":[14],"a":[15,21,53,61,72,82,91],"few":[16],"meaningful":[17],"numbers":[18],"make":[20],"prediction.":[22],"These":[23],"often":[26],"used":[27],"because":[28],"they":[29,116],"practical":[31,99],"interpretable.":[33],"In":[34],"this":[35],"paper,":[36],"we":[37],"introduce":[38],"an":[39],"off-the-shelf":[40],"tool":[41],"create":[43],"scoring":[44,105],"both":[47],"accurate":[48,119],"interpretable,":[50],"known":[51],"as":[52],"Supersparse":[54],"Linear":[55],"Integer":[56],"Model":[57],"(SLIM).":[58],"SLIM":[59,104],"is":[60],"discrete":[62],"optimization":[63],"problem":[64],"minimizes":[66],"the":[67,78,98],"0-1":[68],"loss":[69],"encourage":[71,81],"high":[73,83],"level":[74,84],"of":[75,85,93,103],"accuracy,":[76],"regularizes":[77],"`0-norm":[79],"sparsity,":[86],"constrains":[88],"coefficients":[89],"set":[92],"interpretable":[94,101],"values.":[95],"We":[96],"illustrate":[97],"nature":[102],"through":[107],"applications":[108],"in":[109,122],"medicine":[110],"criminology,":[112],"show":[114],"sparse":[121],"comparison":[123],"state-of-the-art":[125],"using":[128],"numerical":[129],"experiments.":[130]},"counts_by_year":[],"updated_date":"2026-10-28T10:33:24.094632","created_date":"2025-10-27T00:00:00"}
