{"id":"https://openalex.org/W2774907159","doi":"https://doi.org/10.1109/cic.2017.00017","title":"Model Selection Based on Kalman Temporal Differences Learning","display_name":"Model Selection Based on Kalman Temporal Differences Learning","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2774907159","doi":"https://doi.org/10.1109/cic.2017.00017","mag":"2774907159"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/cic.2017.00017","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5072357480","display_name":"Takehiro Kitao","orcid":null},"institutions":[{"id":"https://openalex.org/I204291657","display_name":"Hosei University","ror":"https://ror.org/00bx6dj65","country_code":"JP","type":"education","lineage":["https://openalex.org/I204291657"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takehiro Kitao","raw_affiliation_strings":["Dept.of Advanced Sciences, HOSEI University, Koganei, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Dept.of Advanced Sciences, HOSEI University, Koganei, Tokyo, Japan","institution_ids":["https://openalex.org/I204291657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102570348","display_name":"Masato Shirai","orcid":null},"institutions":[{"id":"https://openalex.org/I204291657","display_name":"Hosei University","ror":"https://ror.org/00bx6dj65","country_code":"JP","type":"education","lineage":["https://openalex.org/I204291657"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masato Shirai","raw_affiliation_strings":["Dept.of Advanced Sciences, HOSEI University, Koganei, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Dept.of Advanced Sciences, HOSEI University, Koganei, Tokyo, Japan","institution_ids":["https://openalex.org/I204291657"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102278157","display_name":"Takao Miura","orcid":null},"institutions":[{"id":"https://openalex.org/I169016828","display_name":"Shimane University","ror":"https://ror.org/01jaaym28","country_code":"JP","type":"education","lineage":["https://openalex.org/I169016828"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takao Miura","raw_affiliation_strings":["Dept. of Mathematics and Computer Science, Shimane University 1060 Nishi-Kawazu, Matsue, Shimane, Japan"],"affiliations":[{"raw_affiliation_string":"Dept. of Mathematics and Computer Science, Shimane University 1060 Nishi-Kawazu, Matsue, Shimane, Japan","institution_ids":["https://openalex.org/I169016828"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.456,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":7,"citation_normalized_percentile":{"value":0.342444,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":82,"max":83},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9973,"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9973,"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9912,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9813,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/initialization","display_name":"Initialization","score":0.62574637},{"id":"https://openalex.org/keywords/temporal-difference-learning","display_name":"Temporal difference learning","score":0.5500754}],"concepts":[{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.79381955},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7440321},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.65008354},{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.62574637},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.55549526},{"id":"https://openalex.org/C196340769","wikidata":"https://www.wikidata.org/wiki/Q7698910","display_name":"Temporal difference learning","level":3,"score":0.5500754},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4951655},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48800698},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.120545894},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/cic.2017.00017","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":15,"referenced_works":["https://openalex.org/W1557517019","https://openalex.org/W1980972971","https://openalex.org/W1993740947","https://openalex.org/W2105934661","https://openalex.org/W2106261932","https://openalex.org/W2117612778","https://openalex.org/W2121863487","https://openalex.org/W2121990344","https://openalex.org/W2145938889","https://openalex.org/W2158984235","https://openalex.org/W2586680856","https://openalex.org/W3022404379","https://openalex.org/W32403112","https://openalex.org/W4214717370","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W3204184292","https://openalex.org/W3176564347","https://openalex.org/W3101398262","https://openalex.org/W3095877357","https://openalex.org/W3031039437","https://openalex.org/W2355833770","https://openalex.org/W2072565696","https://openalex.org/W1985458517","https://openalex.org/W183202219","https://openalex.org/W10861731"],"abstract_inverted_index":{"In":[0,40,62],"this":[1,41,63],"work":[2],"we":[3,23,43,65],"discuss":[4],"how":[5],"useful":[6],"Kalman":[7,30],"Temporal":[8,33],"Difference":[9,34],"(KTD)":[10],"is":[11],"for":[12],"the":[13,52,60],"purpose":[14],"of":[15,17],"improvement":[16],"multiple":[18,72],"model":[19],"learning.":[20],"By":[21],"KTD":[22],"mean":[24],"a":[25,67],"learning":[26],"framework":[27],"by":[28,70,77],"combining":[29],"Filters":[31],"and":[32,55,76],"(TD)":[35],"to":[36,45],"enhance":[37],"multi-agent":[38],"environment.":[39],"approach,":[42],"have":[44],"attack":[46],"dependency":[47],"issues":[48],"against":[49],"initialization":[50],"parameters:":[51],"results":[53],"(quality":[54],"efficiency)":[56],"heavily":[57],"depend":[58],"on":[59],"parameters.":[61],"investigation,":[64],"propose":[66],"new":[68],"approach":[69],"estimating":[71],"models":[73],"in":[74],"parallel":[75],"selecting":[78],"suitable":[79],"ones":[80],"eventually.":[81]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2774907159","counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":6}],"updated_date":"2024-12-07T22:51:00.871076","created_date":"2017-12-22"}