{"id":"https://openalex.org/W1571593670","doi":"https://doi.org/10.1007/978-3-540-30499-9_78","title":"Density Boosting for Gaussian Mixtures","display_name":"Density Boosting for Gaussian Mixtures","publication_year":2004,"publication_date":"2004-01-01","ids":{"openalex":"https://openalex.org/W1571593670","doi":"https://doi.org/10.1007/978-3-540-30499-9_78","mag":"1571593670"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-540-30499-9_78","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-540-30499-9_78","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":"conference-paper","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/A5103332939","display_name":"Xubo Song","orcid":null},"institutions":[{"id":"https://openalex.org/I165690674","display_name":"Oregon Health & Science University","ror":"https://ror.org/009avj582","country_code":"US","type":"education","lineage":["https://openalex.org/I165690674"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xubo Song","raw_affiliation_strings":["Department of Computer Science and Engineering, OGI School of Science and Engineering, Oregon Health and Science University, Beaverton, Oregon, 97006"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, OGI School of Science and Engineering, Oregon Health and Science University, Beaverton, Oregon, 97006","institution_ids":["https://openalex.org/I165690674"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100634443","display_name":"Kun Yang","orcid":"https://orcid.org/0000-0002-0705-1981"},"institutions":[{"id":"https://openalex.org/I165690674","display_name":"Oregon Health & Science University","ror":"https://ror.org/009avj582","country_code":"US","type":"education","lineage":["https://openalex.org/I165690674"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kun Yang","raw_affiliation_strings":["Department of Computer Science and Engineering, OGI School of Science and Engineering, Oregon Health and Science University, Beaverton, Oregon, 97006"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, OGI School of Science and Engineering, Oregon Health and Science University, Beaverton, Oregon, 97006","institution_ids":["https://openalex.org/I165690674"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020862899","display_name":"Misha Pavel","orcid":"https://orcid.org/0000-0002-8023-6405"},"institutions":[{"id":"https://openalex.org/I165690674","display_name":"Oregon Health & Science University","ror":"https://ror.org/009avj582","country_code":"US","type":"education","lineage":["https://openalex.org/I165690674"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Misha Pavel","raw_affiliation_strings":["Department of Biomedical Engineering, OGI School of Science and Engineering, Oregon Health and Science University, Beaverton, Oregon, 97006"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, OGI School of Science and Engineering, Oregon Health and Science University, Beaverton, Oregon, 97006","institution_ids":["https://openalex.org/I165690674"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I165690674"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.2204,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.43878113,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"508","last_page":"515"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","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/T11901","display_name":"Bayesian Methods and Mixture Models","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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.995199978351593,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9873999953269958,"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/boosting","display_name":"Boosting (machine learning)","score":0.79225754737854},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.764175534248352},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6354992389678955},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.6203563809394836},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.6157956719398499},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.547614574432373},{"id":"https://openalex.org/keywords/gradient-descent","display_name":"Gradient descent","score":0.5471873879432678},{"id":"https://openalex.org/keywords/gradient-boosting","display_name":"Gradient boosting","score":0.5470612049102783},{"id":"https://openalex.org/keywords/density-estimation","display_name":"Density estimation","score":0.459392786026001},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4464256465435028},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.418509840965271},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.4144653081893921},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.357322633266449},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16151297092437744},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.12141749262809753},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.10118302702903748},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.09857022762298584},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08564415574073792}],"concepts":[{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.79225754737854},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.764175534248352},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6354992389678955},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.6203563809394836},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.6157956719398499},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.547614574432373},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.5471873879432678},{"id":"https://openalex.org/C70153297","wikidata":"https://www.wikidata.org/wiki/Q5591907","display_name":"Gradient boosting","level":3,"score":0.5470612049102783},{"id":"https://openalex.org/C189508267","wikidata":"https://www.wikidata.org/wiki/Q17088227","display_name":"Density estimation","level":3,"score":0.459392786026001},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4464256465435028},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.418509840965271},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.4144653081893921},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.357322633266449},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16151297092437744},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.12141749262809753},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.10118302702903748},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.09857022762298584},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08564415574073792},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-540-30499-9_78","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-540-30499-9_78","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W28412257","https://openalex.org/W1481519903","https://openalex.org/W1538493107","https://openalex.org/W1975846642","https://openalex.org/W1988790447","https://openalex.org/W1995945562","https://openalex.org/W2024046085","https://openalex.org/W2025653905","https://openalex.org/W2032210760","https://openalex.org/W2112076978","https://openalex.org/W2115092992","https://openalex.org/W2121805075","https://openalex.org/W2122772832","https://openalex.org/W2145073242","https://openalex.org/W2168020168","https://openalex.org/W2172195373","https://openalex.org/W2912934387","https://openalex.org/W4233014035"],"related_works":["https://openalex.org/W3208169454","https://openalex.org/W4298012357","https://openalex.org/W4296079469","https://openalex.org/W2902152374","https://openalex.org/W2896054965","https://openalex.org/W2896110774","https://openalex.org/W2568135170","https://openalex.org/W4390451936","https://openalex.org/W4388503605","https://openalex.org/W3100297620"],"abstract_inverted_index":null,"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-08-04T08:18:43.703281","created_date":"2025-10-10T00:00:00"}
