{"id":"https://openalex.org/W2168138161","doi":"https://doi.org/10.1109/ijcnn.2003.1223697","title":"A performance comparison of TRACA - an incremental on-line learning algorithm","display_name":"A performance comparison of TRACA - an incremental on-line learning algorithm","publication_year":2004,"publication_date":"2004-03-22","ids":{"openalex":"https://openalex.org/W2168138161","doi":"https://doi.org/10.1109/ijcnn.2003.1223697","mag":"2168138161"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2003.1223697","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2003.1223697","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Joint Conference on Neural Networks, 2003.","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://figshare.swinburne.edu.au/articles/conference_contribution/A_performance_comparison_of_TRACA_an_incremental_on-line_learning_algorithm/26285140/1/files/47650612.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5041373376","display_name":"Matthew W. Mitchell","orcid":"https://orcid.org/0000-0002-6947-0495"},"institutions":[{"id":"https://openalex.org/I56590836","display_name":"Monash University","ror":"https://ror.org/02bfwt286","country_code":"AU","type":"education","lineage":["https://openalex.org/I56590836"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"M.W. Mitchell","raw_affiliation_strings":["School of Computer Science and Software Engineering, Monash University, VIC, Australia"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Software Engineering, Monash University, VIC, Australia","institution_ids":["https://openalex.org/I56590836"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5041373376"],"corresponding_institution_ids":["https://openalex.org/I56590836"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.13830698,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"3","issue":null,"first_page":"1897","last_page":"1902"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","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"}},"topics":[{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9980000257492065,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9976999759674072,"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/computer-science","display_name":"Computer science","score":0.7384193539619446},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6406694054603577},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6300356388092041},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.623079240322113},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.6158164143562317},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.6086329221725464},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.531622588634491},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5315088629722595},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.5053989887237549},{"id":"https://openalex.org/keywords/robot-learning","display_name":"Robot learning","score":0.44969281554222107},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.41473332047462463},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.2371785044670105},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15165603160858154},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08042505383491516}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7384193539619446},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6406694054603577},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6300356388092041},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.623079240322113},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.6158164143562317},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.6086329221725464},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.531622588634491},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5315088629722595},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.5053989887237549},{"id":"https://openalex.org/C188888258","wikidata":"https://www.wikidata.org/wiki/Q7353390","display_name":"Robot learning","level":4,"score":0.44969281554222107},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.41473332047462463},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.2371785044670105},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15165603160858154},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08042505383491516},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ijcnn.2003.1223697","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2003.1223697","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Joint Conference on Neural Networks, 2003.","raw_type":"proceedings-article"},{"id":"pmh:oai:researchbank.swinburne.edu.au:f4c91c31-9311-4d19-a56c-0d8543daa78b/1","is_oa":true,"landing_page_url":"http://hdl.handle.net/1959.3/74918","pdf_url":"https://figshare.swinburne.edu.au/articles/conference_contribution/A_performance_comparison_of_TRACA_an_incremental_on-line_learning_algorithm/26285140/1/files/47650612.pdf","source":{"id":"https://openalex.org/S4306401157","display_name":"Swinburne Research Bank (Swinburne University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I57093077","host_organization_name":"Swinburne University of Technology","host_organization_lineage":["https://openalex.org/I57093077"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proceedings of the International Joint Conference on Neural Networks, Portland, Oregon, United States, 20-24 July 2003, Vol. 3, pp. p.1897-1902","raw_type":"publishedVersion"}],"best_oa_location":{"id":"pmh:oai:researchbank.swinburne.edu.au:f4c91c31-9311-4d19-a56c-0d8543daa78b/1","is_oa":true,"landing_page_url":"http://hdl.handle.net/1959.3/74918","pdf_url":"https://figshare.swinburne.edu.au/articles/conference_contribution/A_performance_comparison_of_TRACA_an_incremental_on-line_learning_algorithm/26285140/1/files/47650612.pdf","source":{"id":"https://openalex.org/S4306401157","display_name":"Swinburne Research Bank (Swinburne University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I57093077","host_organization_name":"Swinburne University of Technology","host_organization_lineage":["https://openalex.org/I57093077"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proceedings of the International Joint Conference on Neural Networks, Portland, Oregon, United States, 20-24 July 2003, Vol. 3, pp. p.1897-1902","raw_type":"publishedVersion"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.5400000214576721},{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.4000000059604645}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2168138161.pdf","grobid_xml":"https://content.openalex.org/works/W2168138161.grobid-xml"},"referenced_works_count":37,"referenced_works":["https://openalex.org/W12864991","https://openalex.org/W225768461","https://openalex.org/W569156507","https://openalex.org/W1497256448","https://openalex.org/W1499697567","https://openalex.org/W1555801537","https://openalex.org/W1583380718","https://openalex.org/W1592402337","https://openalex.org/W1595483645","https://openalex.org/W1640646391","https://openalex.org/W1657674574","https://openalex.org/W1682403713","https://openalex.org/W1965367179","https://openalex.org/W1969223365","https://openalex.org/W2001619934","https://openalex.org/W2052117683","https://openalex.org/W2060277733","https://openalex.org/W2107726111","https://openalex.org/W2109779438","https://openalex.org/W2132166479","https://openalex.org/W2142334564","https://openalex.org/W2147786979","https://openalex.org/W2289584534","https://openalex.org/W2763384692","https://openalex.org/W2913602408","https://openalex.org/W3037058914","https://openalex.org/W3215907522","https://openalex.org/W4231832368","https://openalex.org/W4253365321","https://openalex.org/W4255259582","https://openalex.org/W6629809482","https://openalex.org/W6635158338","https://openalex.org/W6635465357","https://openalex.org/W6676553272","https://openalex.org/W6682285203","https://openalex.org/W6696669832","https://openalex.org/W6927075163"],"related_works":["https://openalex.org/W2930863966","https://openalex.org/W2126211886","https://openalex.org/W3153786280","https://openalex.org/W3127551068","https://openalex.org/W2643884694","https://openalex.org/W3165944253","https://openalex.org/W2165180011","https://openalex.org/W4220829754","https://openalex.org/W3217547743","https://openalex.org/W2351343564"],"abstract_inverted_index":{"TRACA":[0,179],"(Temporal":[1],"Reinforcement-learning":[2],"and":[3,59,79,100,103],"Classification":[4],"Architecture)":[5],"is":[6,19,48,129,154,168,180],"a":[7,25,65,72,113,118,156,176,183,191],"learning":[8,24,58,70,115],"system":[9,66],"intended":[10],"for":[11,67],"robot-navigation":[12],"tasks.":[13,123],"One":[14],"problem":[15,47],"in":[16],"this":[17],"area":[18],"input-generalisation.":[20],"Input":[21],"generalisation":[22],"requires":[23,188],"small":[26,73],"set":[27,39,126],"of":[28,35,40,55,75,111,120,127,159,190,193],"internal":[29],"states":[30],"which":[31,136],"represent":[32],"useful":[33],"abstractions":[34],"the":[36,45,52,86,109,141,160],"much":[37],"larger":[38],"actual":[41],"states.":[42],"As":[43],"such,":[44],"input-generalisation":[46],"fundamentally":[49],"similar":[50],"to":[51,88,131,140],"classical":[53],"problems":[54],"classification,":[56],"concept":[57],"discrimination.":[60],"The":[61,124],"priorities":[62],"when":[63],"evaluating":[64],"on-line":[68],"robot":[69,184],"include":[71],"number":[74,119,192],"trials,":[76],"predictive":[77,152],"accuracy":[78,153],"minimal":[80],"parameter":[81],"tuning.":[82],"Other":[83],"requirements":[84],"are":[85,137],"ability":[87],"learn":[89],"without":[90],"predefined":[91],"classes":[92,94],"(i.e.":[93],"must":[95],"be":[96],"learned":[97],"during":[98],"training)":[99],"an":[101],"efficient":[102],"adaptable":[104],"representation.":[105],"This":[106],"paper":[107],"evaluates":[108],"performance":[110],"TRACA,":[112],"new":[114],"algorithm,":[116],"on":[117,182],"common":[121],"classification":[122],"same":[125],"parameters":[128],"used":[130],"obtain":[132],"all":[133],"TRACA's":[134,151,166],"results,":[135],"then":[138],"compared":[139],"results":[142],"obtained":[143],"by":[144],"other":[145],"well-known":[146],"algorithms.":[147],"On":[148],"most":[149],"tasks,":[150],"within":[155],"few":[157],"percent":[158],"best":[161],"performing":[162],"systems":[163],"compared.":[164],"Furthermore,":[165],"result":[167],"often":[169],"achieved":[170],"with":[171],"less":[172],"training":[173],"experience.":[174],"In":[175],"final":[177],"experiment":[178],"trialled":[181],"navigation":[185],"task":[186],"that":[187],"discrimination":[189],"discrete":[194],"locations.":[195]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
