{"id":"https://openalex.org/W3011170577","doi":"https://doi.org/10.1007/978-3-030-43024-5_13","title":"An Efficient Brute Force Approach to Fit Finite Mixture Distributions","display_name":"An Efficient Brute Force Approach to Fit Finite Mixture Distributions","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3011170577","doi":"https://doi.org/10.1007/978-3-030-43024-5_13","mag":"3011170577"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-030-43024-5_13","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-43024-5_13","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/A5040540636","display_name":"Falko Bause","orcid":"https://orcid.org/0009-0008-1923-3134"},"institutions":[{"id":"https://openalex.org/I200332995","display_name":"TU Dortmund University","ror":"https://ror.org/01k97gp34","country_code":"DE","type":"education","lineage":["https://openalex.org/I200332995"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Falko Bause","raw_affiliation_strings":["LS Informatik IV, Department of Computer Science, TU Dortmund, 44221, Dortmund, Germany"],"affiliations":[{"raw_affiliation_string":"LS Informatik IV, Department of Computer Science, TU Dortmund, 44221, Dortmund, Germany","institution_ids":["https://openalex.org/I200332995"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5040540636"],"corresponding_institution_ids":["https://openalex.org/I200332995"],"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":0.05648855,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"208","last_page":"224"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11269","display_name":"Algorithms and Data Compression","score":0.996399998664856,"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/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.993399977684021,"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/erlang-distribution","display_name":"Erlang distribution","score":0.5946595072746277},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5932770371437073},{"id":"https://openalex.org/keywords/brute-force","display_name":"Brute force","score":0.4994840621948242},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.48212647438049316},{"id":"https://openalex.org/keywords/probability-distribution","display_name":"Probability distribution","score":0.47224730253219604},{"id":"https://openalex.org/keywords/probability-density-function","display_name":"Probability density function","score":0.4649926722049713},{"id":"https://openalex.org/keywords/erlang","display_name":"Erlang (programming language)","score":0.4470583200454712},{"id":"https://openalex.org/keywords/cumulative-distribution-function","display_name":"Cumulative distribution function","score":0.44039639830589294},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.42684414982795715},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.387604296207428},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.29578346014022827},{"id":"https://openalex.org/keywords/gamma-distribution","display_name":"Gamma distribution","score":0.2923862934112549},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.20329231023788452},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.08692127466201782}],"concepts":[{"id":"https://openalex.org/C145437242","wikidata":"https://www.wikidata.org/wiki/Q762448","display_name":"Erlang distribution","level":3,"score":0.5946595072746277},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5932770371437073},{"id":"https://openalex.org/C2986801135","wikidata":"https://www.wikidata.org/wiki/Q1209494","display_name":"Brute force","level":2,"score":0.4994840621948242},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.48212647438049316},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.47224730253219604},{"id":"https://openalex.org/C197055811","wikidata":"https://www.wikidata.org/wiki/Q207522","display_name":"Probability density function","level":2,"score":0.4649926722049713},{"id":"https://openalex.org/C82484044","wikidata":"https://www.wikidata.org/wiki/Q334879","display_name":"Erlang (programming language)","level":3,"score":0.4470583200454712},{"id":"https://openalex.org/C103784038","wikidata":"https://www.wikidata.org/wiki/Q386228","display_name":"Cumulative distribution function","level":3,"score":0.44039639830589294},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.42684414982795715},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.387604296207428},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29578346014022827},{"id":"https://openalex.org/C149717495","wikidata":"https://www.wikidata.org/wiki/Q117806","display_name":"Gamma distribution","level":2,"score":0.2923862934112549},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.20329231023788452},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.08692127466201782},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C42383842","wikidata":"https://www.wikidata.org/wiki/Q193076","display_name":"Functional programming","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-030-43024-5_13","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-43024-5_13","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":34,"referenced_works":["https://openalex.org/W6145922","https://openalex.org/W605692607","https://openalex.org/W1523220017","https://openalex.org/W1525215372","https://openalex.org/W1570713732","https://openalex.org/W1702605717","https://openalex.org/W1965784699","https://openalex.org/W1980891099","https://openalex.org/W1986771252","https://openalex.org/W1988324242","https://openalex.org/W1993834778","https://openalex.org/W2010299227","https://openalex.org/W2048092465","https://openalex.org/W2070482505","https://openalex.org/W2071824468","https://openalex.org/W2073424933","https://openalex.org/W2075665712","https://openalex.org/W2101969505","https://openalex.org/W2109210128","https://openalex.org/W2114426519","https://openalex.org/W2122372969","https://openalex.org/W2132863287","https://openalex.org/W2142635246","https://openalex.org/W2143002993","https://openalex.org/W2154602821","https://openalex.org/W2163279392","https://openalex.org/W2166698530","https://openalex.org/W2171856993","https://openalex.org/W2175681524","https://openalex.org/W2486894272","https://openalex.org/W2797746357","https://openalex.org/W2809666375","https://openalex.org/W2952558372","https://openalex.org/W3175367423"],"related_works":["https://openalex.org/W2594392289","https://openalex.org/W830184964","https://openalex.org/W2613997428","https://openalex.org/W4380886430","https://openalex.org/W2322385984","https://openalex.org/W4327524501","https://openalex.org/W1999178477","https://openalex.org/W2162800547","https://openalex.org/W2063143196","https://openalex.org/W1496274349"],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
