{"id":"https://openalex.org/W1604547262","doi":"https://doi.org/10.1109/cdc.2003.1272203","title":"Constructing performance sensitivities of Markov systems with potentials as building blocks","display_name":"Constructing performance sensitivities of Markov systems with potentials as building blocks","publication_year":2004,"publication_date":"2004-06-21","ids":{"openalex":"https://openalex.org/W1604547262","doi":"https://doi.org/10.1109/cdc.2003.1272203","mag":"1604547262"},"language":"en","primary_location":{"id":"doi:10.1109/cdc.2003.1272203","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc.2003.1272203","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"42nd IEEE International Conference on Decision and Control (IEEE Cat. No.03CH37475)","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/A5100635237","display_name":"Xi\u2010Ren Cao","orcid":"https://orcid.org/0000-0001-5165-8804"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Xi-Ren Cao","raw_affiliation_strings":["Hong Kong University of Science and Technology, Hong Kong, China","Hong Kong Univ. of Sci. & Technol., Kowloon, China#TAB#"],"affiliations":[{"raw_affiliation_string":"Hong Kong University of Science and Technology, Hong Kong, China","institution_ids":["https://openalex.org/I200769079"]},{"raw_affiliation_string":"Hong Kong Univ. of Sci. & Technol., Kowloon, China#TAB#","institution_ids":["https://openalex.org/I200769079"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100635237"],"corresponding_institution_ids":["https://openalex.org/I200769079"],"apc_list":null,"apc_paid":null,"fwci":0.4504,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.67322885,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"42","issue":null,"first_page":"4405","last_page":"4409"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11195","display_name":"Simulation Techniques and Applications","score":0.993399977684021,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11195","display_name":"Simulation Techniques and Applications","score":0.993399977684021,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10780","display_name":"Reliability and Maintenance Optimization","score":0.9901999831199646,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12423","display_name":"Software Reliability and Analysis Research","score":0.9840999841690063,"subfield":{"id":"https://openalex.org/subfields/1712","display_name":"Software"},"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/markov-chain","display_name":"Markov chain","score":0.8168309926986694},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.681056797504425},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6630764603614807},{"id":"https://openalex.org/keywords/markov-decision-process","display_name":"Markov decision process","score":0.5621638298034668},{"id":"https://openalex.org/keywords/markov-model","display_name":"Markov model","score":0.5424852967262268},{"id":"https://openalex.org/keywords/variable-order-markov-model","display_name":"Variable-order Markov model","score":0.5219978094100952},{"id":"https://openalex.org/keywords/markov-kernel","display_name":"Markov kernel","score":0.49360716342926025},{"id":"https://openalex.org/keywords/perturbation","display_name":"Perturbation (astronomy)","score":0.4843848645687103},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.4797845482826233},{"id":"https://openalex.org/keywords/markov-property","display_name":"Markov property","score":0.42694446444511414},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3756539225578308},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3679664731025696},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3370835781097412},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2702811658382416},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2275679111480713}],"concepts":[{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.8168309926986694},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.681056797504425},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6630764603614807},{"id":"https://openalex.org/C106189395","wikidata":"https://www.wikidata.org/wiki/Q176789","display_name":"Markov decision process","level":3,"score":0.5621638298034668},{"id":"https://openalex.org/C163836022","wikidata":"https://www.wikidata.org/wiki/Q6771326","display_name":"Markov model","level":3,"score":0.5424852967262268},{"id":"https://openalex.org/C54907487","wikidata":"https://www.wikidata.org/wiki/Q7915688","display_name":"Variable-order Markov model","level":4,"score":0.5219978094100952},{"id":"https://openalex.org/C106666656","wikidata":"https://www.wikidata.org/wiki/Q6771323","display_name":"Markov kernel","level":5,"score":0.49360716342926025},{"id":"https://openalex.org/C177918212","wikidata":"https://www.wikidata.org/wiki/Q803623","display_name":"Perturbation (astronomy)","level":2,"score":0.4843848645687103},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.4797845482826233},{"id":"https://openalex.org/C189973286","wikidata":"https://www.wikidata.org/wiki/Q176695","display_name":"Markov property","level":4,"score":0.42694446444511414},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3756539225578308},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3679664731025696},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3370835781097412},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2702811658382416},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2275679111480713},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cdc.2003.1272203","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc.2003.1272203","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"42nd IEEE International Conference on Decision and Control (IEEE Cat. No.03CH37475)","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-38017","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-38017","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7599999904632568,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W1531253382","https://openalex.org/W2171033527","https://openalex.org/W4214717370","https://openalex.org/W4240755724","https://openalex.org/W4297744580"],"related_works":["https://openalex.org/W2130519334","https://openalex.org/W3216708645","https://openalex.org/W1493775604","https://openalex.org/W1976065452","https://openalex.org/W4360597163","https://openalex.org/W4240129243","https://openalex.org/W1504767525","https://openalex.org/W574890804","https://openalex.org/W1974839821","https://openalex.org/W2353444478"],"abstract_inverted_index":{"We":[0,46],"study":[1],"the":[2,15,70],"structure":[3],"of":[4,7,28,75],"sample":[5,20],"paths":[6],"Markov":[8,29,65,83],"systems":[9,30],"by":[10,34,53],"using":[11,35],"performance":[12,26,36,58,61,73],"potentials":[13,37],"as":[14,43],"fundamental":[16],"units.":[17],"With":[18],"a":[19],"path-based":[21],"approach,":[22],"we":[23],"show":[24],"that":[25],"sensitivities":[27],"can":[31],"be":[32],"constructed":[33],"(or":[38],"equivalently,":[39],"perturbation":[40,81],"realization":[41],"factors)":[42],"building":[44],"blocks.":[45],"propose":[47],"an":[48],"intuitive":[49],"approach":[50],"to":[51],"derive,":[52],"first":[54],"principles,":[55],"formulas":[56,68],"for":[57,63,72],"derivatives":[59],"and":[60,86],"differences":[62],"two":[64],"chains.":[66],"These":[67],"are":[69],"basis":[71],"optimization":[74],"discrete":[76],"event":[77],"dynamic":[78],"systems,":[79],"including":[80],"analysis,":[82],"decision":[84],"processes,":[85],"reinforcement":[87],"learning.":[88]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
