{"id":"https://openalex.org/W1481352285","doi":"https://doi.org/10.1007/3-540-44533-1_21","title":"A Classifier Fitness Measure Based on Bayesian Likelihoods: An Approach to the Problem of Learning from Positives Only","display_name":"A Classifier Fitness Measure Based on Bayesian Likelihoods: An Approach to the Problem of Learning from Positives Only","publication_year":2000,"publication_date":"2000-01-01","ids":{"openalex":"https://openalex.org/W1481352285","doi":"https://doi.org/10.1007/3-540-44533-1_21","mag":"1481352285"},"language":"en","primary_location":{"id":"doi:10.1007/3-540-44533-1_21","is_oa":false,"landing_page_url":"https://doi.org/10.1007/3-540-44533-1_21","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","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/A5002461826","display_name":"Andrew Skabar","orcid":null},"institutions":[{"id":"https://openalex.org/I160993911","display_name":"Queensland University of Technology","ror":"https://ror.org/03pnv4752","country_code":"AU","type":"education","lineage":["https://openalex.org/I160993911"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Andrew Skabar","raw_affiliation_strings":["School of Electrical & Electronic Systems Engineering, Queensland University of Technology, GPO Box 2434, Brisbane, QLD, 4001, Australia"],"affiliations":[{"raw_affiliation_string":"School of Electrical & Electronic Systems Engineering, Queensland University of Technology, GPO Box 2434, Brisbane, QLD, 4001, Australia","institution_ids":["https://openalex.org/I160993911"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053150560","display_name":"Anthony Maeder","orcid":"https://orcid.org/0000-0002-7398-2581"},"institutions":[{"id":"https://openalex.org/I160993911","display_name":"Queensland University of Technology","ror":"https://ror.org/03pnv4752","country_code":"AU","type":"education","lineage":["https://openalex.org/I160993911"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Anthony Maeder","raw_affiliation_strings":["School of Electrical & Electronic Systems Engineering, Queensland University of Technology, GPO Box 2434, Brisbane, QLD, 4001, Australia"],"affiliations":[{"raw_affiliation_string":"School of Electrical & Electronic Systems Engineering, Queensland University of Technology, GPO Box 2434, Brisbane, QLD, 4001, Australia","institution_ids":["https://openalex.org/I160993911"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109850979","display_name":"Binh Pham","orcid":null},"institutions":[{"id":"https://openalex.org/I160993911","display_name":"Queensland University of Technology","ror":"https://ror.org/03pnv4752","country_code":"AU","type":"education","lineage":["https://openalex.org/I160993911"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Binh Pham","raw_affiliation_strings":["Faculty of Information Technology, Queensland University of Technology, GPO Box 2434, Brisbane, QLD, 4001, Australia"],"affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, Queensland University of Technology, GPO Box 2434, Brisbane, QLD, 4001, Australia","institution_ids":["https://openalex.org/I160993911"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5002461826"],"corresponding_institution_ids":["https://openalex.org/I160993911"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07467635,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"177","last_page":"187"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9990000128746033,"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/T10320","display_name":"Neural Networks and Applications","score":0.9990000128746033,"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/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9929999709129333,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9927999973297119,"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/computer-science","display_name":"Computer science","score":0.8082483410835266},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6856496334075928},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6826348900794983},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6247591376304626},{"id":"https://openalex.org/keywords/false-positive-paradox","display_name":"False positive paradox","score":0.599026620388031},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5491743087768555},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.522878885269165},{"id":"https://openalex.org/keywords/activation-function","display_name":"Activation function","score":0.48412975668907166},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.45848697423934937},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.45461687445640564},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.4388939440250397},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4279424846172333},{"id":"https://openalex.org/keywords/backpropagation","display_name":"Backpropagation","score":0.41358911991119385},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3300430178642273}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8082483410835266},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6856496334075928},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6826348900794983},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6247591376304626},{"id":"https://openalex.org/C64869954","wikidata":"https://www.wikidata.org/wiki/Q1859747","display_name":"False positive paradox","level":2,"score":0.599026620388031},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5491743087768555},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.522878885269165},{"id":"https://openalex.org/C38365724","wikidata":"https://www.wikidata.org/wiki/Q4677469","display_name":"Activation function","level":3,"score":0.48412975668907166},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.45848697423934937},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.45461687445640564},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.4388939440250397},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4279424846172333},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.41358911991119385},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3300430178642273}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/3-540-44533-1_21","is_oa":false,"landing_page_url":"https://doi.org/10.1007/3-540-44533-1_21","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1497256448","https://openalex.org/W1593431730","https://openalex.org/W1659842140","https://openalex.org/W1872610947","https://openalex.org/W2071738870","https://openalex.org/W2125055259","https://openalex.org/W2152150600","https://openalex.org/W2330820318","https://openalex.org/W3023540311","https://openalex.org/W3085162807","https://openalex.org/W3207342693","https://openalex.org/W4237787038","https://openalex.org/W4300402905"],"related_works":["https://openalex.org/W1557094818","https://openalex.org/W4239286941","https://openalex.org/W2088845016","https://openalex.org/W589102260","https://openalex.org/W3110577345","https://openalex.org/W1966421350","https://openalex.org/W1863534956","https://openalex.org/W2128396103","https://openalex.org/W1868434454","https://openalex.org/W2244330272"],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
