{"id":"https://openalex.org/W4210270168","doi":"https://doi.org/10.1109/cdc45484.2021.9683270","title":"On the Error Rate for Classifying Point Processes","display_name":"On the Error Rate for Classifying Point Processes","publication_year":2021,"publication_date":"2021-12-14","ids":{"openalex":"https://openalex.org/W4210270168","doi":"https://doi.org/10.1109/cdc45484.2021.9683270"},"language":"en","primary_location":{"id":"doi:10.1109/cdc45484.2021.9683270","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc45484.2021.9683270","pdf_url":null,"source":{"id":"https://openalex.org/S4363607724","display_name":"2021 60th IEEE Conference on Decision and Control (CDC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 60th IEEE Conference on Decision and Control (CDC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5049625115","display_name":"Xinhui Rong","orcid":null},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Xinhui Rong","raw_affiliation_strings":["University of New South Wales,School of Electrical Engineering and Telecommunications,Sydney,Australia","School of Electrical Engineering and Telecommunications, University of New South Wales, Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of New South Wales,School of Electrical Engineering and Telecommunications,Sydney,Australia","institution_ids":["https://openalex.org/I31746571"]},{"raw_affiliation_string":"School of Electrical Engineering and Telecommunications, University of New South Wales, Sydney, Australia","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091154507","display_name":"Victor Solo","orcid":"https://orcid.org/0000-0002-5123-7708"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Victor Solo","raw_affiliation_strings":["University of New South Wales,School of Electrical Engineering and Telecommunications,Sydney,Australia","School of Electrical Engineering and Telecommunications, University of New South Wales, Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of New South Wales,School of Electrical Engineering and Telecommunications,Sydney,Australia","institution_ids":["https://openalex.org/I31746571"]},{"raw_affiliation_string":"School of Electrical Engineering and Telecommunications, University of New South Wales, Sydney, Australia","institution_ids":["https://openalex.org/I31746571"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I31746571"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.35443824,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"120","last_page":"125"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11830","display_name":"Point processes and geometric inequalities","score":0.9909999966621399,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11830","display_name":"Point processes and geometric inequalities","score":0.9909999966621399,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9800999760627747,"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/T11716","display_name":"Random Matrices and Applications","score":0.9361000061035156,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/point-process","display_name":"Point process","score":0.758316159248352},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6144848465919495},{"id":"https://openalex.org/keywords/poisson-distribution","display_name":"Poisson distribution","score":0.5779939293861389},{"id":"https://openalex.org/keywords/word-error-rate","display_name":"Word error rate","score":0.5502885580062866},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.5449496507644653},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.5067000985145569},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.486978143453598},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4835672080516815},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.481354296207428},{"id":"https://openalex.org/keywords/bayes-error-rate","display_name":"Bayes error rate","score":0.42789626121520996},{"id":"https://openalex.org/keywords/bayes-theorem","display_name":"Bayes' theorem","score":0.42412126064300537},{"id":"https://openalex.org/keywords/binary-classification","display_name":"Binary classification","score":0.42206794023513794},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4139152765274048},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35364484786987305},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.35317522287368774},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.34135496616363525},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33988237380981445},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.28817787766456604},{"id":"https://openalex.org/keywords/bayes-classifier","display_name":"Bayes classifier","score":0.15134498476982117},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.07555466890335083}],"concepts":[{"id":"https://openalex.org/C88871306","wikidata":"https://www.wikidata.org/wiki/Q7208287","display_name":"Point process","level":2,"score":0.758316159248352},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6144848465919495},{"id":"https://openalex.org/C100906024","wikidata":"https://www.wikidata.org/wiki/Q205692","display_name":"Poisson distribution","level":2,"score":0.5779939293861389},{"id":"https://openalex.org/C40969351","wikidata":"https://www.wikidata.org/wiki/Q3516228","display_name":"Word error rate","level":2,"score":0.5502885580062866},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.5449496507644653},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.5067000985145569},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.486978143453598},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4835672080516815},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.481354296207428},{"id":"https://openalex.org/C143809311","wikidata":"https://www.wikidata.org/wiki/Q4874458","display_name":"Bayes error rate","level":5,"score":0.42789626121520996},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.42412126064300537},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.42206794023513794},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4139152765274048},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35364484786987305},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.35317522287368774},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.34135496616363525},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33988237380981445},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.28817787766456604},{"id":"https://openalex.org/C185207860","wikidata":"https://www.wikidata.org/wiki/Q17004744","display_name":"Bayes classifier","level":4,"score":0.15134498476982117},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.07555466890335083},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cdc45484.2021.9683270","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc45484.2021.9683270","pdf_url":null,"source":{"id":"https://openalex.org/S4363607724","display_name":"2021 60th IEEE Conference on Decision and Control (CDC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 60th IEEE Conference on Decision and Control (CDC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7900000214576721,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320334704","display_name":"Australian Research Council","ror":"https://ror.org/05mmh0f86"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W279529119","https://openalex.org/W1499969990","https://openalex.org/W1564947197","https://openalex.org/W1966688129","https://openalex.org/W1974891525","https://openalex.org/W1995453571","https://openalex.org/W1998565209","https://openalex.org/W2052923946","https://openalex.org/W2057342974","https://openalex.org/W2097560155","https://openalex.org/W2101645017","https://openalex.org/W2135094424","https://openalex.org/W2164971571","https://openalex.org/W2479761636","https://openalex.org/W2486175508","https://openalex.org/W2500153589","https://openalex.org/W2515728551","https://openalex.org/W2773786819","https://openalex.org/W2963937354","https://openalex.org/W2991446526","https://openalex.org/W2998142462","https://openalex.org/W4238721329","https://openalex.org/W4239875977","https://openalex.org/W6675448251","https://openalex.org/W6696308418","https://openalex.org/W6722643950"],"related_works":["https://openalex.org/W2033333781","https://openalex.org/W2057359786","https://openalex.org/W1973600295","https://openalex.org/W2006328505","https://openalex.org/W2360277993","https://openalex.org/W2041448365","https://openalex.org/W891638917","https://openalex.org/W2042770250","https://openalex.org/W1965792156","https://openalex.org/W1599512561"],"abstract_inverted_index":{"Point":[0],"process":[1,36],"data":[2],"is":[3],"increasingly":[4],"occurring":[5],"in":[6,42],"a":[7,34,43,64],"wide":[8],"range":[9],"of":[10,33,89],"applications":[11],"including":[12],"social":[13],"media.":[14],"But":[15],"basic":[16],"problems":[17],"such":[18],"as":[19],"classifying":[20],"point":[21,35],"processes":[22],"have":[23],"not":[24],"been":[25],"addressed.":[26],"Here":[27],"we":[28],"study":[29,86],"the":[30,50,54,58,69,73,87,90],"misclassification":[31],"error":[32,55],"Bayes":[37],"rule/likelihood":[38],"ratio":[39],"classification":[40,45],"rule":[41],"binary":[44],"problem.":[46],"We":[47,61,76,85],"first":[48],"develop":[49,78],"Bhattacharya":[51,70],"bound":[52,67,71],"for":[53,57,72,81],"rate":[56],"time-varying":[59],"Poisson.":[60],"then":[62,77],"derive":[63],"tight":[65],"computable":[66],"on":[68],"renewal":[74],"process.":[75],"fast":[79],"methods":[80],"computing":[82],"these":[83],"bounds.":[84],"accuracy":[88],"bounds":[91],"with":[92],"some":[93],"comparative":[94],"simulations.":[95]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
