{"id":"https://openalex.org/W2156705704","doi":"https://doi.org/10.1109/icsmc.2004.1401150","title":"Decision trees work better than feed-forward back-prop neural nets for a specific class of problems","display_name":"Decision trees work better than feed-forward back-prop neural nets for a specific class of problems","publication_year":2005,"publication_date":"2005-03-31","ids":{"openalex":"https://openalex.org/W2156705704","doi":"https://doi.org/10.1109/icsmc.2004.1401150","mag":"2156705704"},"language":"en","primary_location":{"id":"doi:10.1109/icsmc.2004.1401150","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2004.1401150","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583)","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/A5100373343","display_name":"Xiaomei Liu","orcid":"https://orcid.org/0000-0002-4918-4993"},"institutions":[{"id":"https://openalex.org/I107639228","display_name":"University of Notre Dame","ror":"https://ror.org/00mkhxb43","country_code":"US","type":"education","lineage":["https://openalex.org/I107639228"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Xiaomei Liu","raw_affiliation_strings":["Department of Computer Science & Engineering, University of Notre Dame, Notre Dame, IN, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science & Engineering, University of Notre Dame, Notre Dame, IN, USA","institution_ids":["https://openalex.org/I107639228"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019673624","display_name":"Kevin W. Bowyer","orcid":"https://orcid.org/0000-0002-7562-4390"},"institutions":[{"id":"https://openalex.org/I107639228","display_name":"University of Notre Dame","ror":"https://ror.org/00mkhxb43","country_code":"US","type":"education","lineage":["https://openalex.org/I107639228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"K.W. Bowyer","raw_affiliation_strings":["Department of Computer Science & Engineering, University of Notre Dame, Notre Dame, IN, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science & Engineering, University of Notre Dame, Notre Dame, IN, USA","institution_ids":["https://openalex.org/I107639228"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000168449","display_name":"Lawrence Hall","orcid":"https://orcid.org/0000-0002-7898-8456"},"institutions":[{"id":"https://openalex.org/I2613432","display_name":"University of South Florida","ror":"https://ror.org/032db5x82","country_code":"US","type":"education","lineage":["https://openalex.org/I2613432"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"L.O. Hall","raw_affiliation_strings":["Department of Computer Science & Engineering, University of South Florida, Tampa, FL, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science & Engineering, University of South Florida, Tampa, FL, USA","institution_ids":["https://openalex.org/I2613432"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100373343"],"corresponding_institution_ids":["https://openalex.org/I107639228"],"apc_list":null,"apc_paid":null,"fwci":0.9142,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.82356028,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"6","issue":null,"first_page":"5969","last_page":"5974"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9998000264167786,"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/T10320","display_name":"Neural Networks and Applications","score":0.9998000264167786,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9789999723434448,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9764999747276306,"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/artificial-neural-network","display_name":"Artificial neural network","score":0.7424293160438538},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.7271565794944763},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7250201106071472},{"id":"https://openalex.org/keywords/backpropagation","display_name":"Backpropagation","score":0.6810219883918762},{"id":"https://openalex.org/keywords/feedforward-neural-network","display_name":"Feedforward neural network","score":0.6007928252220154},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5894994139671326},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.555476188659668},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5383727550506592},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5320131778717041},{"id":"https://openalex.org/keywords/feed-forward","display_name":"Feed forward","score":0.531200110912323},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.08530956506729126},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08228135108947754}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7424293160438538},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.7271565794944763},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7250201106071472},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.6810219883918762},{"id":"https://openalex.org/C47702885","wikidata":"https://www.wikidata.org/wiki/Q5441227","display_name":"Feedforward neural network","level":3,"score":0.6007928252220154},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5894994139671326},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.555476188659668},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5383727550506592},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5320131778717041},{"id":"https://openalex.org/C38858127","wikidata":"https://www.wikidata.org/wiki/Q5441228","display_name":"Feed forward","level":2,"score":0.531200110912323},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.08530956506729126},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08228135108947754}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icsmc.2004.1401150","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2004.1401150","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.75.4826","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.75.4826","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.csee.usf.edu/~hall/papers/smc04nn.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.78.667","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.78.667","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://morden.csee.usf.edu/avatar/publications/1159_corrected_3-1.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7900000214576721,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320338291","display_name":"Sandia National Laboratories","ror":"https://ror.org/01apwpt12"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W197326900","https://openalex.org/W2081808304","https://openalex.org/W2103496339","https://openalex.org/W2109779438","https://openalex.org/W2125055259","https://openalex.org/W2137983211","https://openalex.org/W2143908786","https://openalex.org/W2169958062","https://openalex.org/W3146803896"],"related_works":["https://openalex.org/W2115072676","https://openalex.org/W97768505","https://openalex.org/W4311212821","https://openalex.org/W2918103456","https://openalex.org/W1529660427","https://openalex.org/W2102065768","https://openalex.org/W2080531293","https://openalex.org/W2540883726","https://openalex.org/W4390752998","https://openalex.org/W3005666459"],"abstract_inverted_index":{"Feed":[0],"forward,":[1,50,68,92],"back":[2,51,69,93],"propagation":[3,52,70,94],"neural":[4,53,71,95],"networks":[5,72,96],"are":[6,30,38,87],"known":[7],"to":[8,21,35,41,65,123],"be":[9,19],"universal":[10],"approximators":[11],"in":[12,58,118,129],"a":[13,74,79,82],"certain":[14,75],"theoretical":[15],"sense.":[16],"They":[17],"can":[18],"time-consuming":[20],"train":[22],"and":[23,33],"require":[24],"significant":[25],"parameter":[26],"tuning.":[27],"Decision":[28],"trees":[29,63],"generally":[31],"faster":[32],"simpler":[34],"train,":[36],"but":[37,97],"widely":[39],"assumed":[40],"not":[42],"offer":[43],"predictive":[44],"accuracy":[45],"as":[46,48],"good":[47],"feed":[49,67,91],"networks.":[54],"We":[55,77],"have":[56],"noticed":[57],"previous":[59],"work":[60],"that":[61,86],"decision":[62,101],"tended":[64],"outperform":[66],"on":[73],"dataset.":[76],"provide":[78],"description":[80],"of":[81,84,110,114,127],"class":[83,109],"problems":[85],"extremely":[88],"difficult":[89],"for":[90,100],"relatively":[98],"simple":[99],"trees.":[102],"Experiments":[103],"with":[104],"synthetic":[105],"datasets":[106],"illustrate":[107],"the":[108],"problems.":[111],"The":[112],"importance":[113],"this":[115],"result":[116],"lies":[117],"making":[119],"decisions":[120],"about":[121],"when":[122],"employ":[124],"what":[125],"type":[126],"classifier":[128],"practice.":[130]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}