{"id":"https://openalex.org/W1489112261","doi":"https://doi.org/10.1016/b978-1-55860-247-2.50008-5","title":"The Principal Axes Method for Constructive Induction","display_name":"The Principal Axes Method for Constructive Induction","publication_year":1992,"publication_date":"1992-01-01","ids":{"openalex":"https://openalex.org/W1489112261","doi":"https://doi.org/10.1016/b978-1-55860-247-2.50008-5","mag":"1489112261"},"language":"en","primary_location":{"id":"doi:10.1016/b978-1-55860-247-2.50008-5","is_oa":false,"landing_page_url":"https://doi.org/10.1016/b978-1-55860-247-2.50008-5","pdf_url":null,"source":{"id":"https://openalex.org/S4306463230","display_name":"Elsevier eBooks","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"ebook platform"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning Proceedings 1992","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/A5110032317","display_name":"Jerzy Bala","orcid":null},"institutions":[{"id":"https://openalex.org/I162714631","display_name":"George Mason University","ror":"https://ror.org/02jqj7156","country_code":"US","type":"education","lineage":["https://openalex.org/I162714631"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jerzy W. Bala","raw_affiliation_strings":["Center for Artificial Intelligence, Department of Computer Science, George Mason University, Fairfax, VA 22030"],"affiliations":[{"raw_affiliation_string":"Center for Artificial Intelligence, Department of Computer Science, George Mason University, Fairfax, VA 22030","institution_ids":["https://openalex.org/I162714631"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108082211","display_name":"Ryszard S. Michalski","orcid":null},"institutions":[{"id":"https://openalex.org/I162714631","display_name":"George Mason University","ror":"https://ror.org/02jqj7156","country_code":"US","type":"education","lineage":["https://openalex.org/I162714631"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ryszard S. Michalski","raw_affiliation_strings":["Center for Artificial Intelligence, Department of Computer Science, George Mason University, Fairfax, VA 22030"],"affiliations":[{"raw_affiliation_string":"Center for Artificial Intelligence, Department of Computer Science, George Mason University, Fairfax, VA 22030","institution_ids":["https://openalex.org/I162714631"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051249443","display_name":"Janusz Wnek","orcid":null},"institutions":[{"id":"https://openalex.org/I162714631","display_name":"George Mason University","ror":"https://ror.org/02jqj7156","country_code":"US","type":"education","lineage":["https://openalex.org/I162714631"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Janusz Wnek","raw_affiliation_strings":["Center for Artificial Intelligence, Department of Computer Science, George Mason University, Fairfax, VA 22030"],"affiliations":[{"raw_affiliation_string":"Center for Artificial Intelligence, Department of Computer Science, George Mason University, Fairfax, VA 22030","institution_ids":["https://openalex.org/I162714631"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5051249443","https://openalex.org/A5108082211","https://openalex.org/A5110032317"],"corresponding_institution_ids":["https://openalex.org/I162714631"],"apc_list":null,"apc_paid":null,"fwci":2.3615,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.88457711,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"20","last_page":"29"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9858999848365784,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9858999848365784,"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/T10320","display_name":"Neural Networks and Applications","score":0.9775999784469604,"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/T12002","display_name":"Computability, Logic, AI Algorithms","score":0.965499997138977,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/constructive","display_name":"Constructive","score":0.7575756311416626},{"id":"https://openalex.org/keywords/principal","display_name":"Principal (computer security)","score":0.6178288459777832},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6019400358200073},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5966238975524902},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5248910188674927},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4859520196914673},{"id":"https://openalex.org/keywords/principal-axis-theorem","display_name":"Principal axis theorem","score":0.4671069383621216},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.46110445261001587},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.4386006295681},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.42897868156433105},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4170815944671631},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40827077627182007},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3965854346752167},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33597248792648315},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.22839203476905823},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.07660025358200073},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.06441119313240051}],"concepts":[{"id":"https://openalex.org/C2778701210","wikidata":"https://www.wikidata.org/wiki/Q28130034","display_name":"Constructive","level":3,"score":0.7575756311416626},{"id":"https://openalex.org/C144559511","wikidata":"https://www.wikidata.org/wiki/Q2986279","display_name":"Principal (computer security)","level":2,"score":0.6178288459777832},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6019400358200073},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5966238975524902},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5248910188674927},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4859520196914673},{"id":"https://openalex.org/C161326058","wikidata":"https://www.wikidata.org/wiki/Q7245073","display_name":"Principal axis theorem","level":2,"score":0.4671069383621216},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.46110445261001587},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.4386006295681},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.42897868156433105},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4170815944671631},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40827077627182007},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3965854346752167},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33597248792648315},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.22839203476905823},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.07660025358200073},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.06441119313240051},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1016/b978-1-55860-247-2.50008-5","is_oa":false,"landing_page_url":"https://doi.org/10.1016/b978-1-55860-247-2.50008-5","pdf_url":null,"source":{"id":"https://openalex.org/S4306463230","display_name":"Elsevier eBooks","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"ebook platform"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning Proceedings 1992","raw_type":"book-chapter"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.19.7410","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.19.7410","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.mli.gmu.edu/papers/90-95/92-08.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.4300000071525574}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W6996585","https://openalex.org/W129125113","https://openalex.org/W145358992","https://openalex.org/W177590838","https://openalex.org/W206415041","https://openalex.org/W1171100998","https://openalex.org/W1483128843","https://openalex.org/W1528368796","https://openalex.org/W1548160298","https://openalex.org/W1558635551","https://openalex.org/W1562138751","https://openalex.org/W1593431730","https://openalex.org/W1667012816","https://openalex.org/W1738398458","https://openalex.org/W2031586513","https://openalex.org/W2067642555","https://openalex.org/W2089967664","https://openalex.org/W2132513611","https://openalex.org/W2136000097","https://openalex.org/W2159047538","https://openalex.org/W2165347852","https://openalex.org/W4234760406","https://openalex.org/W6628835958","https://openalex.org/W6631494991","https://openalex.org/W6637129169","https://openalex.org/W6683229354","https://openalex.org/W6940960488"],"related_works":["https://openalex.org/W1975632186","https://openalex.org/W3027745756","https://openalex.org/W3205213561","https://openalex.org/W2531880140","https://openalex.org/W2126145365","https://openalex.org/W2036609560","https://openalex.org/W346861917","https://openalex.org/W2022188753","https://openalex.org/W2361329093","https://openalex.org/W4250644203"],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
