{"id":"https://openalex.org/W2125278133","doi":"https://doi.org/10.1109/iske.2008.4731071","title":"Support vector machine learning from positive and unlabeled samples","display_name":"Support vector machine learning from positive and unlabeled samples","publication_year":2008,"publication_date":"2008-11-01","ids":{"openalex":"https://openalex.org/W2125278133","doi":"https://doi.org/10.1109/iske.2008.4731071","mag":"2125278133"},"language":"en","primary_location":{"id":"doi:10.1109/iske.2008.4731071","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iske.2008.4731071","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 3rd International Conference on Intelligent System and Knowledge Engineering","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"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/A5083788556","display_name":"Ai-bing Ji","orcid":null},"institutions":[{"id":"https://openalex.org/I43337087","display_name":"Hebei University","ror":"https://ror.org/01p884a79","country_code":"CN","type":"education","lineage":["https://openalex.org/I43337087"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ai-bing Ji","raw_affiliation_strings":["College of Medicine, Hebei University, Baoding, Hebei, China","Coll. of Med., Hebei Univ., Baoding, China"],"affiliations":[{"raw_affiliation_string":"College of Medicine, Hebei University, Baoding, Hebei, China","institution_ids":["https://openalex.org/I43337087"]},{"raw_affiliation_string":"Coll. of Med., Hebei Univ., Baoding, China","institution_ids":["https://openalex.org/I43337087"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103551929","display_name":"Qi-ming Niu","orcid":null},"institutions":[{"id":"https://openalex.org/I43337087","display_name":"Hebei University","ror":"https://ror.org/01p884a79","country_code":"CN","type":"education","lineage":["https://openalex.org/I43337087"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi-ming Niu","raw_affiliation_strings":["College of Medicine, Hebei University, Baoding, Hebei, China","Coll. of Med., Hebei Univ., Baoding, China"],"affiliations":[{"raw_affiliation_string":"College of Medicine, Hebei University, Baoding, Hebei, China","institution_ids":["https://openalex.org/I43337087"]},{"raw_affiliation_string":"Coll. of Med., Hebei Univ., Baoding, China","institution_ids":["https://openalex.org/I43337087"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081848543","display_name":"Minghu Ha","orcid":"https://orcid.org/0000-0002-1537-3542"},"institutions":[{"id":"https://openalex.org/I43337087","display_name":"Hebei University","ror":"https://ror.org/01p884a79","country_code":"CN","type":"education","lineage":["https://openalex.org/I43337087"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming-hu Ha","raw_affiliation_strings":["College of Mathematics and Computer, Hebei University, Hebei, China","Coll. of Math. & Comput., Hebei Univ., Baoding, , China"],"affiliations":[{"raw_affiliation_string":"College of Mathematics and Computer, Hebei University, Hebei, China","institution_ids":["https://openalex.org/I43337087"]},{"raw_affiliation_string":"Coll. of Math. & Comput., Hebei Univ., Baoding, , China","institution_ids":["https://openalex.org/I43337087"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5083788556"],"corresponding_institution_ids":["https://openalex.org/I43337087"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13471582,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"10","issue":null,"first_page":"978","last_page":"982"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10057","display_name":"Face and Expression Recognition","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9987999796867371,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9926999807357788,"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/bounding-overwatch","display_name":"Bounding overwatch","score":0.859506368637085},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.8106610774993896},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6848564743995667},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5739370584487915},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5087769627571106},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4951275885105133},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.47906431555747986},{"id":"https://openalex.org/keywords/semi-supervised-learning","display_name":"Semi-supervised learning","score":0.42960673570632935},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.42326200008392334},{"id":"https://openalex.org/keywords/structured-support-vector-machine","display_name":"Structured support vector machine","score":0.42144322395324707}],"concepts":[{"id":"https://openalex.org/C63584917","wikidata":"https://www.wikidata.org/wiki/Q333286","display_name":"Bounding overwatch","level":2,"score":0.859506368637085},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.8106610774993896},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6848564743995667},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5739370584487915},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5087769627571106},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4951275885105133},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47906431555747986},{"id":"https://openalex.org/C58973888","wikidata":"https://www.wikidata.org/wiki/Q1041418","display_name":"Semi-supervised learning","level":2,"score":0.42960673570632935},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.42326200008392334},{"id":"https://openalex.org/C125168437","wikidata":"https://www.wikidata.org/wiki/Q7625184","display_name":"Structured support vector machine","level":3,"score":0.42144322395324707},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iske.2008.4731071","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iske.2008.4731071","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 3rd International Conference on Intelligent System and Knowledge Engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W92894758","https://openalex.org/W1966846152","https://openalex.org/W1997029057","https://openalex.org/W2107008379","https://openalex.org/W2107968230","https://openalex.org/W2130652100","https://openalex.org/W2148603752","https://openalex.org/W2155319834","https://openalex.org/W4384306321","https://openalex.org/W6676132248","https://openalex.org/W6676348322"],"related_works":["https://openalex.org/W1948992892","https://openalex.org/W2186666570","https://openalex.org/W2143867687","https://openalex.org/W4253128984","https://openalex.org/W2384390720","https://openalex.org/W2565312173","https://openalex.org/W2122277321","https://openalex.org/W2104936869","https://openalex.org/W2364362706","https://openalex.org/W2104406636"],"abstract_inverted_index":{"In":[0],"many":[1],"machine":[2,26,73,100],"learning":[3,29,101],"settings,":[4],"labeled":[5],"samples":[6,13,34,61,84,88,106],"are":[7,14],"difficult":[8],"to":[9,56],"collect":[10],"while":[11],"unlabeled":[12,33,64,93,105],"abundant.":[15],"We":[16,36],"investigate":[17],"in":[18],"this":[19,52],"paper":[20],"the":[21,39,46,59,63,70,75,81,86,92,108],"design":[22],"of":[23,80],"support":[24,71,98],"vector":[25,72,99],"classification":[27],"algorithms":[28],"from":[30,62,91,102],"positive":[31,47,83,103],"and":[32,49,85,104,113],"only.":[35],"first":[37],"find":[38],"minimum":[40,53],"bounding":[41,54],"sphere":[42,55],"that":[43,97],"enclosed":[44],"all":[45],"samples,":[48,65],"then":[50],"use":[51],"pick":[57],"out":[58,90],"negative":[60,87],"at":[66],"last":[67],"we":[68],"train":[69],"using":[74],"training":[76],"set":[77],"which":[78],"consists":[79],"given":[82],"picked":[89],"samples.":[94],"Experiments":[95],"indicate":[96],"achieves":[107],"desired":[109],"high":[110],"test":[111],"precision":[112],"prediction":[114],"accuracy.":[115]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}