{"id":"https://openalex.org/W1555335063","doi":"https://doi.org/10.1007/978-3-540-30463-0_42","title":"New Bounds and Approximations for the Error of Linear Classifiers","display_name":"New Bounds and Approximations for the Error of Linear Classifiers","publication_year":2004,"publication_date":"2004-01-01","ids":{"openalex":"https://openalex.org/W1555335063","doi":"https://doi.org/10.1007/978-3-540-30463-0_42","mag":"1555335063"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-540-30463-0_42","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-540-30463-0_42","pdf_url":"https://link.springer.com/content/pdf/10.1007%2F978-3-540-30463-0_42.pdf","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":true,"oa_status":"bronze","oa_url":"https://link.springer.com/content/pdf/10.1007%2F978-3-540-30463-0_42.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5040978295","display_name":"Luis Rueda","orcid":"https://orcid.org/0000-0001-7988-2058"},"institutions":[{"id":"https://openalex.org/I74413500","display_name":"University of Windsor","ror":"https://ror.org/01gw3d370","country_code":"CA","type":"education","lineage":["https://openalex.org/I74413500"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Luis Rueda","raw_affiliation_strings":["School of Computer Science, University of Windsor, Windsor, Canada","Univ of Windsor"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Windsor, Windsor, Canada","institution_ids":["https://openalex.org/I74413500"]},{"raw_affiliation_string":"Univ of Windsor","institution_ids":["https://openalex.org/I74413500"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5040978295"],"corresponding_institution_ids":["https://openalex.org/I74413500"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.11737668,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"342","last_page":"349"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.9986000061035156,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9986000061035156,"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/T10057","display_name":"Face and Expression Recognition","score":0.9976000189781189,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6855217218399048},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.650047779083252},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5947689414024353},{"id":"https://openalex.org/keywords/approximation-error","display_name":"Approximation error","score":0.5312708616256714},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5241363644599915},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.49648720026016235},{"id":"https://openalex.org/keywords/word-error-rate","display_name":"Word error rate","score":0.48676037788391113},{"id":"https://openalex.org/keywords/mean-squared-prediction-error","display_name":"Mean squared prediction error","score":0.45506665110588074},{"id":"https://openalex.org/keywords/bayes-error-rate","display_name":"Bayes error rate","score":0.44229042530059814},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.4253040552139282},{"id":"https://openalex.org/keywords/approximations-of-\u03c0","display_name":"Approximations of \u03c0","score":0.4223289489746094},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3819284439086914},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3382498025894165},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.28421735763549805},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.15222153067588806},{"id":"https://openalex.org/keywords/bayes-classifier","display_name":"Bayes classifier","score":0.08902546763420105}],"concepts":[{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6855217218399048},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.650047779083252},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5947689414024353},{"id":"https://openalex.org/C122383733","wikidata":"https://www.wikidata.org/wiki/Q865920","display_name":"Approximation error","level":2,"score":0.5312708616256714},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5241363644599915},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.49648720026016235},{"id":"https://openalex.org/C40969351","wikidata":"https://www.wikidata.org/wiki/Q3516228","display_name":"Word error rate","level":2,"score":0.48676037788391113},{"id":"https://openalex.org/C167085575","wikidata":"https://www.wikidata.org/wiki/Q6803654","display_name":"Mean squared prediction error","level":2,"score":0.45506665110588074},{"id":"https://openalex.org/C143809311","wikidata":"https://www.wikidata.org/wiki/Q4874458","display_name":"Bayes error rate","level":5,"score":0.44229042530059814},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.4253040552139282},{"id":"https://openalex.org/C193386753","wikidata":"https://www.wikidata.org/wiki/Q1130396","display_name":"Approximations of \u03c0","level":2,"score":0.4223289489746094},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3819284439086914},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3382498025894165},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.28421735763549805},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.15222153067588806},{"id":"https://openalex.org/C185207860","wikidata":"https://www.wikidata.org/wiki/Q17004744","display_name":"Bayes classifier","level":4,"score":0.08902546763420105},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/978-3-540-30463-0_42","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-540-30463-0_42","pdf_url":"https://link.springer.com/content/pdf/10.1007%2F978-3-540-30463-0_42.pdf","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"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.59.7613","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.59.7613","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://janus.newcs.uwindsor.ca/~lrueda/papers/ErrorEstCIARP.pdf","raw_type":"text"}],"best_oa_location":{"id":"doi:10.1007/978-3-540-30463-0_42","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-540-30463-0_42","pdf_url":"https://link.springer.com/content/pdf/10.1007%2F978-3-540-30463-0_42.pdf","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"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2165548363","display_name":null,"funder_award_id":"Canada","funder_id":"https://openalex.org/F4320334593","funder_display_name":"Natural Sciences and Engineering Research Council of Canada"}],"funders":[{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W1555335063.pdf","grobid_xml":"https://content.openalex.org/works/W1555335063.grobid-xml"},"referenced_works_count":16,"referenced_works":["https://openalex.org/W1986450173","https://openalex.org/W1999772635","https://openalex.org/W2022261649","https://openalex.org/W2025089370","https://openalex.org/W2034371392","https://openalex.org/W2106431294","https://openalex.org/W2116753372","https://openalex.org/W2128260227","https://openalex.org/W2130795196","https://openalex.org/W2135346934","https://openalex.org/W2161084348","https://openalex.org/W2496585406","https://openalex.org/W2799061466","https://openalex.org/W3146003712","https://openalex.org/W4244494905","https://openalex.org/W4298266977"],"related_works":["https://openalex.org/W1973600295","https://openalex.org/W1599512561","https://openalex.org/W3143280635","https://openalex.org/W4287244523","https://openalex.org/W2072590579","https://openalex.org/W2188630996","https://openalex.org/W258687875","https://openalex.org/W2340310921","https://openalex.org/W2072663648","https://openalex.org/W2148386535"],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}