{"id":"https://openalex.org/W3179948523","doi":"https://doi.org/10.1109/icmlc51923.2020.9469579","title":"Conservative Generalisation for Small Data Analytics \u2013An Extended Lattice Machine Approach","display_name":"Conservative Generalisation for Small Data Analytics \u2013An Extended Lattice Machine Approach","publication_year":2020,"publication_date":"2020-12-02","ids":{"openalex":"https://openalex.org/W3179948523","doi":"https://doi.org/10.1109/icmlc51923.2020.9469579","mag":"3179948523"},"language":"en","primary_location":{"id":"doi:10.1109/icmlc51923.2020.9469579","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc51923.2020.9469579","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Conference on Machine Learning and Cybernetics (ICMLC)","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/A5042166105","display_name":"Shuangshuang Kong","orcid":null},"institutions":[{"id":"https://openalex.org/I111753288","display_name":"Fujian Normal University","ror":"https://ror.org/020azk594","country_code":"CN","type":"education","lineage":["https://openalex.org/I111753288"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shuangshuang Kong","raw_affiliation_strings":["School of Mathematics and Informatics, Fujian Normal University, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematics and Informatics, Fujian Normal University, China","institution_ids":["https://openalex.org/I111753288"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100460917","display_name":"Hui Wang","orcid":"https://orcid.org/0000-0003-2633-6015"},"institutions":[{"id":"https://openalex.org/I138801177","display_name":"University of Ulster","ror":"https://ror.org/01yp9g959","country_code":"GB","type":"education","lineage":["https://openalex.org/I138801177"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Hui Wang","raw_affiliation_strings":["School of Computing, Ulster University, UK"],"affiliations":[{"raw_affiliation_string":"School of Computing, Ulster University, UK","institution_ids":["https://openalex.org/I138801177"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100774498","display_name":"Kaijun Wang","orcid":"https://orcid.org/0009-0004-2588-9421"},"institutions":[{"id":"https://openalex.org/I111753288","display_name":"Fujian Normal University","ror":"https://ror.org/020azk594","country_code":"CN","type":"education","lineage":["https://openalex.org/I111753288"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaijun Wang","raw_affiliation_strings":["School of Mathematics and Informatics, Fujian Normal University, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematics and Informatics, Fujian Normal University, China","institution_ids":["https://openalex.org/I111753288"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5042166105"],"corresponding_institution_ids":["https://openalex.org/I111753288"],"apc_list":null,"apc_paid":null,"fwci":0.0977,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.44906567,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"99","last_page":"104"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9915000200271606,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10057","display_name":"Face and Expression Recognition","score":0.9915000200271606,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9850000143051147,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9739999771118164,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/overfitting","display_name":"Overfitting","score":0.8022242784500122},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7296149730682373},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.686136782169342},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.6443101167678833},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6025954484939575},{"id":"https://openalex.org/keywords/lattice","display_name":"Lattice (music)","score":0.508195161819458},{"id":"https://openalex.org/keywords/tuple","display_name":"Tuple","score":0.4397708475589752},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3800329267978668},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33475106954574585},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.14735975861549377},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1255369782447815}],"concepts":[{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.8022242784500122},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7296149730682373},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.686136782169342},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.6443101167678833},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6025954484939575},{"id":"https://openalex.org/C2781204021","wikidata":"https://www.wikidata.org/wiki/Q6497091","display_name":"Lattice (music)","level":2,"score":0.508195161819458},{"id":"https://openalex.org/C118930307","wikidata":"https://www.wikidata.org/wiki/Q600590","display_name":"Tuple","level":2,"score":0.4397708475589752},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3800329267978668},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33475106954574585},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.14735975861549377},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1255369782447815},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icmlc51923.2020.9469579","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc51923.2020.9469579","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Conference on Machine Learning and Cybernetics (ICMLC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1480782954","https://openalex.org/W1547564544","https://openalex.org/W1551085703","https://openalex.org/W1608748195","https://openalex.org/W1982660309","https://openalex.org/W2788559954","https://openalex.org/W2800722845","https://openalex.org/W2888611683","https://openalex.org/W2922706279","https://openalex.org/W3002441507","https://openalex.org/W3093222659","https://openalex.org/W6628641852","https://openalex.org/W6633095634","https://openalex.org/W6636146035"],"related_works":["https://openalex.org/W1574414179","https://openalex.org/W4362597605","https://openalex.org/W4297676672","https://openalex.org/W4281702477","https://openalex.org/W2922073769","https://openalex.org/W4378510483","https://openalex.org/W2490526372","https://openalex.org/W2989932438","https://openalex.org/W4387297750","https://openalex.org/W2186333919"],"abstract_inverted_index":{"Small":[0],"data":[1,7,15,25,66],"analytics":[2],"is":[3,17,50,58,82,98,119,134,146],"to":[4,23,37,149,168],"tackle":[5],"the":[6,14,103],"analysis":[8],"challenges":[9],"such":[10,139],"as":[11,131,140],"overfitting":[12],"when":[13],"set":[16,84],"small.":[18],"There":[19],"are":[20],"different":[21],"approaches":[22,34],"small":[24],"analytics,":[26],"including":[27],"knowledge-based":[28],"learning,":[29],"but":[30],"most":[31],"of":[32,85,93,96,102,109],"these":[33],"need":[35],"experience":[36],"use.":[38],"In":[39,159],"this":[40,160,170],"paper":[41],"we":[42,162],"consider":[43],"another":[44],"approach,":[45],"lattice":[46,75,110,151,172],"machine.":[47,173],"Lattice":[48],"machine":[49,76],"a":[51,59,68,80,83,99,164],"conservative":[52,70,100,114],"generalisation":[53,101,115],"based":[54,116],"learning":[55,60,117],"algorithm.":[56],"It":[57,145],"paradigm":[61],"that":[62,88,120],"\"learns\"":[63],"by":[64],"generalising":[65],"in":[67,136],"consistent,":[69],"and":[71,125],"parsimonious":[72],"way.":[73],"A":[74,106],"model":[77],"built":[78],"from":[79],"dataset":[81],"hyper":[86],"tuples":[87],"tightly":[89],"\"wraps":[90],"around\"":[91],"clusters":[92],"data,":[94],"each":[95],"which":[97],"underlying":[104],"cluster.":[105],"key":[107],"feature":[108],"machine,":[111],"indeed":[112],"any":[113],"algorithm,":[118],"it":[121],"has":[122],"high":[123,132,157],"precision":[124],"low":[126],"recall,":[127],"limiting":[128],"its":[129],"applications":[130,138],"recall":[133,153],"needed":[135],"some":[137],"disease":[141],"(e.g.":[142],"covid-19)":[143],"screening.":[144],"thus":[147],"necessary":[148],"improve":[150],"machine's":[152],"whilst":[154],"retaining":[155],"his":[156],"precision.":[158],"paper,":[161],"present":[163],"study":[165],"on":[166],"how":[167],"achieve":[169],"for":[171]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
