{"id":"https://openalex.org/W2156060128","doi":"https://doi.org/10.1109/isit.2009.5205677","title":"Reducing the space complexity of a Bayes coding algorithm using an expanded context tree","display_name":"Reducing the space complexity of a Bayes coding algorithm using an expanded context tree","publication_year":2009,"publication_date":"2009-06-01","ids":{"openalex":"https://openalex.org/W2156060128","doi":"https://doi.org/10.1109/isit.2009.5205677","mag":"2156060128"},"language":"en","primary_location":{"id":"doi:10.1109/isit.2009.5205677","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2009.5205677","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Symposium on Information Theory","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/A5110471799","display_name":"Toshiyasu Matsushima","orcid":null},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Toshiyasu Matsushima","raw_affiliation_strings":["Department of Applied Mathematics, Waseda University, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Applied Mathematics, Waseda University, Tokyo, Japan","institution_ids":["https://openalex.org/I150744194"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113791852","display_name":"Shigeich Hirasawa","orcid":null},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shigeich Hirasawa","raw_affiliation_strings":["Waseda University, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Waseda University, Tokyo, Japan","institution_ids":["https://openalex.org/I150744194"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.453,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.75584535,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"719","last_page":"723"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.9991999864578247,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9991999864578247,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9751999974250793,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9731000065803528,"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/tree","display_name":"Tree (set theory)","score":0.6212364435195923},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.621035099029541},{"id":"https://openalex.org/keywords/bayes-theorem","display_name":"Bayes' theorem","score":0.5956154465675354},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5789982676506042},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.47919949889183044},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.45810556411743164},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.45487698912620544},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4133754074573517},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3922620415687561},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3268727660179138},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.27370691299438477},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.20959588885307312},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.18779656291007996},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.06359279155731201}],"concepts":[{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.6212364435195923},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.621035099029541},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.5956154465675354},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5789982676506042},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.47919949889183044},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.45810556411743164},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.45487698912620544},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4133754074573517},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3922620415687561},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3268727660179138},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.27370691299438477},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.20959588885307312},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.18779656291007996},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.06359279155731201},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isit.2009.5205677","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2009.5205677","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Symposium on Information Theory","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W2029353114","https://openalex.org/W2114257671","https://openalex.org/W2117090766","https://openalex.org/W2129902114","https://openalex.org/W2160570986","https://openalex.org/W2163294786","https://openalex.org/W2165843147","https://openalex.org/W2171560765","https://openalex.org/W2285598204","https://openalex.org/W6696415293"],"related_works":["https://openalex.org/W2394466068","https://openalex.org/W1987683558","https://openalex.org/W2726838704","https://openalex.org/W4220802396","https://openalex.org/W1989494794","https://openalex.org/W2122031327","https://openalex.org/W1184238669","https://openalex.org/W2537862391","https://openalex.org/W2417174640","https://openalex.org/W3032901101"],"abstract_inverted_index":{"The":[0,47],"context":[1,20,54,82,144],"tree":[2,145],"models":[3],"are":[4,16,23,56],"widely":[5],"used":[6],"in":[7,36,109],"a":[8,33,64,79,97,133],"lot":[9],"of":[10,29,32,40,50,63,105,136],"research":[11],"fields.":[12],"Patricia":[13,52,80,98],"like":[14,53,81,99],"trees":[15,21,55,108],"applied":[17],"to":[18,26,88],"the":[19,27,30,37,51,61,68,71,92,102,106,110,137,142,147],"that":[22],"expanded":[24,107],"according":[25],"increase":[28],"length":[31,62],"source":[34,42,65,74],"sequence":[35],"previous":[38],"researches":[39],"non-predictive":[41],"coding":[43,75,113,130],"and":[44,90,141],"model":[45],"selection.":[46],"space":[48,103,150],"complexity":[49,104,151],"O(t)":[57],"where":[58],"t":[59],"is":[60,86,115,152],"sequence.":[66],"On":[67],"other":[69],"hand,":[70],"predictive":[72,111,128],"Bayes":[73,112,129],"algorithm":[76,114,131],"cannot":[77],"use":[78],"tree,":[83],"because":[84],"it":[85],"difficult":[87],"hold":[89],"update":[91],"posterior":[93,138],"probability":[94,139],"parameters":[95,140,148],"on":[96],"tree.":[100],"So":[101],"O(t":[116],"<sup":[117],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[118],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>":[119],").":[120],"In":[121],"this":[122],"paper,":[123],"we":[124],"propose":[125],"an":[126],"efficient":[127],"using":[132],"new":[134],"representation":[135],"compact":[143],"holding":[146],"whose":[149],"O(t).":[153]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}