{"id":"https://openalex.org/W1574365947","doi":"https://doi.org/10.1007/978-3-540-30215-5_27","title":"Newton Diagram and Stochastic Complexity in Mixture of Binomial Distributions","display_name":"Newton Diagram and Stochastic Complexity in Mixture of Binomial Distributions","publication_year":2004,"publication_date":"2004-01-01","ids":{"openalex":"https://openalex.org/W1574365947","doi":"https://doi.org/10.1007/978-3-540-30215-5_27","mag":"1574365947"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-540-30215-5_27","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-540-30215-5_27","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/A5015169524","display_name":"Keisuke Yamazaki","orcid":"https://orcid.org/0000-0001-5323-4298"},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Keisuke Yamazaki","raw_affiliation_strings":["Precision and Intelligence Laboratory, Tokyo Institute of Technology, 4259 Nagatsuda, Midori-ku, Yokohama, 226-8503, Japan, Mailbox R2-5"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Precision and Intelligence Laboratory, Tokyo Institute of Technology, 4259 Nagatsuda, Midori-ku, Yokohama, 226-8503, Japan, Mailbox R2-5","institution_ids":["https://openalex.org/I114531698"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089768991","display_name":"Sumio Watanabe","orcid":"https://orcid.org/0000-0001-8341-5639"},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Sumio Watanabe","raw_affiliation_strings":["Precision and Intelligence Laboratory, Tokyo Institute of Technology, 4259 Nagatsuda, Midori-ku, Yokohama, 226-8503, Japan, Mailbox R2-5"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Precision and Intelligence Laboratory, Tokyo Institute of Technology, 4259 Nagatsuda, Midori-ku, Yokohama, 226-8503, Japan, Mailbox R2-5","institution_ids":["https://openalex.org/I114531698"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I114531698"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":1.1575,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.79964142,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"350","last_page":"364"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9847000241279602,"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":0.9847000241279602,"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/T11428","display_name":"Advanced Mathematical Identities","score":0.9635000228881836,"subfield":{"id":"https://openalex.org/subfields/2602","display_name":"Algebra and Number Theory"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12261","display_name":"Statistical Mechanics and Entropy","score":0.9606999754905701,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.708261251449585},{"id":"https://openalex.org/keywords/diagram","display_name":"Diagram","score":0.6396329402923584},{"id":"https://openalex.org/keywords/binomial","display_name":"Binomial (polynomial)","score":0.5750539302825928},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.4270709455013275},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3866831660270691},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.260468065738678},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23273441195487976}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.708261251449585},{"id":"https://openalex.org/C186399060","wikidata":"https://www.wikidata.org/wiki/Q959962","display_name":"Diagram","level":2,"score":0.6396329402923584},{"id":"https://openalex.org/C2781315470","wikidata":"https://www.wikidata.org/wiki/Q193623","display_name":"Binomial (polynomial)","level":2,"score":0.5750539302825928},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.4270709455013275},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3866831660270691},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.260468065738678},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23273441195487976},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-540-30215-5_27","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-540-30215-5_27","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":27,"referenced_works":["https://openalex.org/W165370603","https://openalex.org/W1521877949","https://openalex.org/W1536409494","https://openalex.org/W1548091191","https://openalex.org/W1568656763","https://openalex.org/W1582314917","https://openalex.org/W1594725708","https://openalex.org/W1968908999","https://openalex.org/W1974755789","https://openalex.org/W1978102570","https://openalex.org/W1981276685","https://openalex.org/W2001035477","https://openalex.org/W2008430743","https://openalex.org/W2012644626","https://openalex.org/W2015567646","https://openalex.org/W2105154442","https://openalex.org/W2120217353","https://openalex.org/W2133370198","https://openalex.org/W2138164972","https://openalex.org/W2145513251","https://openalex.org/W2159717183","https://openalex.org/W2168175751","https://openalex.org/W2542446888","https://openalex.org/W2566917795","https://openalex.org/W2911546748","https://openalex.org/W2999905431","https://openalex.org/W3022903251"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W4391913857"],"abstract_inverted_index":null,"counts_by_year":[{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":2}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
