{"id":"https://openalex.org/W1981651876","doi":"https://doi.org/10.1145/1060590.1060645","title":"Learning nonsingular phylogenies and hidden Markov models","display_name":"Learning nonsingular phylogenies and hidden Markov models","publication_year":2005,"publication_date":"2005-05-22","ids":{"openalex":"https://openalex.org/W1981651876","doi":"https://doi.org/10.1145/1060590.1060645","mag":"1981651876"},"language":"en","primary_location":{"id":"doi:10.1145/1060590.1060645","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1060590.1060645","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the thirty-seventh annual ACM symposium on Theory of computing","raw_type":"proceedings-article"},"type":"article","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/A5013467728","display_name":"Elchanan Mossel","orcid":"https://orcid.org/0000-0001-7812-7886"},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Elchanan Mossel","raw_affiliation_strings":["University of California - Berkeley, Berkeley, CA"],"affiliations":[{"raw_affiliation_string":"University of California - Berkeley, Berkeley, CA","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057444173","display_name":"S\u00e9bastien Roch","orcid":"https://orcid.org/0000-0002-7608-8550"},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"S\u00e9bastien Roch","raw_affiliation_strings":["University of California - Berkeley, Berkeley, CA"],"affiliations":[{"raw_affiliation_string":"University of California - Berkeley, Berkeley, CA","institution_ids":["https://openalex.org/I95457486"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5013467728"],"corresponding_institution_ids":["https://openalex.org/I95457486"],"apc_list":null,"apc_paid":null,"fwci":4.1137,"has_fulltext":false,"cited_by_count":113,"citation_normalized_percentile":{"value":0.93671361,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"366","last_page":"375"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.9995999932289124,"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":0.9995999932289124,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9988999962806702,"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/T11567","display_name":"semigroups and automata theory","score":0.9972000122070312,"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/invertible-matrix","display_name":"Invertible matrix","score":0.6956597566604614},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.6567466259002686},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.6228017210960388},{"id":"https://openalex.org/keywords/markov-model","display_name":"Markov model","score":0.6091011762619019},{"id":"https://openalex.org/keywords/maximum-entropy-markov-model","display_name":"Maximum-entropy Markov model","score":0.6011514067649841},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.5055975914001465},{"id":"https://openalex.org/keywords/bounded-function","display_name":"Bounded function","score":0.4955102205276489},{"id":"https://openalex.org/keywords/variable-order-markov-model","display_name":"Variable-order Markov model","score":0.4899076819419861},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.47862616181373596},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46132558584213257},{"id":"https://openalex.org/keywords/markov-kernel","display_name":"Markov kernel","score":0.45412224531173706},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4276849925518036},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35477226972579956},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3215201497077942},{"id":"https://openalex.org/keywords/pure-mathematics","display_name":"Pure mathematics","score":0.12555363774299622},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10493910312652588}],"concepts":[{"id":"https://openalex.org/C96442724","wikidata":"https://www.wikidata.org/wiki/Q242188","display_name":"Invertible matrix","level":2,"score":0.6956597566604614},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.6567466259002686},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.6228017210960388},{"id":"https://openalex.org/C163836022","wikidata":"https://www.wikidata.org/wiki/Q6771326","display_name":"Markov model","level":3,"score":0.6091011762619019},{"id":"https://openalex.org/C196956702","wikidata":"https://www.wikidata.org/wiki/Q6795829","display_name":"Maximum-entropy Markov model","level":5,"score":0.6011514067649841},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.5055975914001465},{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.4955102205276489},{"id":"https://openalex.org/C54907487","wikidata":"https://www.wikidata.org/wiki/Q7915688","display_name":"Variable-order Markov model","level":4,"score":0.4899076819419861},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.47862616181373596},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46132558584213257},{"id":"https://openalex.org/C106666656","wikidata":"https://www.wikidata.org/wiki/Q6771323","display_name":"Markov kernel","level":5,"score":0.45412224531173706},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4276849925518036},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35477226972579956},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3215201497077942},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.12555363774299622},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10493910312652588},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1145/1060590.1060645","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1060590.1060645","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the thirty-seventh annual ACM symposium on Theory of computing","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.upenn.edu:statistics_papers-1224","is_oa":false,"landing_page_url":"https://repository.upenn.edu/statistics_papers/377","pdf_url":null,"source":{"id":"https://openalex.org/S4306402083","display_name":"ScholarlyCommons (University of Pennsylvania)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79576946","host_organization_name":"University of Pennsylvania","host_organization_lineage":["https://openalex.org/I79576946"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Statistics Papers","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.107.241","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.107.241","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.phylo.org/pdf_docs/39_(51)Roch2_nonsingular.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.342.8757","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.342.8757","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://arxiv.org/pdf/cs/0502076v1.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W160062981","https://openalex.org/W1498708571","https://openalex.org/W1513861746","https://openalex.org/W1520252399","https://openalex.org/W1549189261","https://openalex.org/W1881409289","https://openalex.org/W1950077553","https://openalex.org/W1966972227","https://openalex.org/W1981651876","https://openalex.org/W1981745143","https://openalex.org/W2001331793","https://openalex.org/W2009570821","https://openalex.org/W2011039300","https://openalex.org/W2019363670","https://openalex.org/W2019750012","https://openalex.org/W2024076752","https://openalex.org/W2048303023","https://openalex.org/W2057853309","https://openalex.org/W2064680241","https://openalex.org/W2065151783","https://openalex.org/W2066327035","https://openalex.org/W2066936587","https://openalex.org/W2072631813","https://openalex.org/W2075008459","https://openalex.org/W2081281113","https://openalex.org/W2081585469","https://openalex.org/W2088484367","https://openalex.org/W2095374884","https://openalex.org/W2108911240","https://openalex.org/W2124594995","https://openalex.org/W2125838338","https://openalex.org/W2141375003","https://openalex.org/W2166444569","https://openalex.org/W2169071224","https://openalex.org/W2178116779","https://openalex.org/W2610857016","https://openalex.org/W2798909945","https://openalex.org/W2952338702","https://openalex.org/W3089948396","https://openalex.org/W3214380909","https://openalex.org/W4236181223","https://openalex.org/W4238893454","https://openalex.org/W4245668478","https://openalex.org/W4247332402","https://openalex.org/W4285719527","https://openalex.org/W4388212639"],"related_works":["https://openalex.org/W2161328464","https://openalex.org/W2130519334","https://openalex.org/W3113307220","https://openalex.org/W2379333870","https://openalex.org/W2382132287","https://openalex.org/W1985664346","https://openalex.org/W2363310627","https://openalex.org/W2153204379","https://openalex.org/W2353444478","https://openalex.org/W2100055350"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,66],"study":[4],"the":[5,34,37,41,49,63],"problem":[6],"of":[7,36],"learning":[8,42,58,72],"phylogenies":[9,74],"and":[10,75],"hidden":[11,45,76],"Markov":[12,17,46,77],"models.":[13,78],"We":[14,32],"call":[15],"a":[16,68],"model":[18],"nonsingular":[19,73],"if":[20],"all":[21],"transition":[22],"matrices":[23],"have":[24],"determinants":[25],"bounded":[26],"away":[27],"from":[28],"0":[29],"(and":[30],"1).":[31],"highlight":[33],"role":[35],"nonsingularity":[38,50],"condition":[39,51],"for":[40,71],"problem.":[43],"Learning":[44],"models":[47],"without":[48],"is":[52],"at":[53],"least":[54],"as":[55,57],"hard":[56],"parity":[59],"with":[60],"noise.":[61],"On":[62],"other":[64],"hand,":[65],"give":[67],"polynomial-time":[69],"algorithm":[70]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":17},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":8},{"year":2015,"cited_by_count":9},{"year":2014,"cited_by_count":11},{"year":2013,"cited_by_count":14},{"year":2012,"cited_by_count":3}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
