乐胖代购免代理版

{"id":"https://openalex.org/W2551874332","doi":"https://doi.org/10.1109/mlsp.2016.7738851","title":"BDL.NET: Bayesian dictionary learning in Infer.NET","display_name":"BDL.NET: Bayesian dictionary learning in Infer.NET","publication_year":2016,"publication_date":"2016-09-01","ids":{"openalex":"https://openalex.org/W2551874332","doi":"https://doi.org/10.1109/mlsp.2016.7738851","mag":"2551874332"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/mlsp.2016.7738851","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://research-information.bris.ac.uk/files/117032707/Tom_Diethe_BDL.NET_BAYESIAN_DICTIONARY_LEARNING_IN_INFER.NET.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5058474860","display_name":"Tom Diethe","orcid":"https://orcid.org/0000-0002-0776-5407"},"institutions":[{"id":"https://openalex.org/I4210161128","display_name":"Bristol Robotics Laboratory","ror":"https://ror.org/056sbyc67","country_code":"GB","type":"facility","lineage":["https://openalex.org/I4210161128"]},{"id":"https://openalex.org/I36234482","display_name":"University of Bristol","ror":"https://ror.org/0524sp257","country_code":"GB","type":"education","lineage":["https://openalex.org/I36234482"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Tom Diethe","raw_affiliation_strings":["Intelligent Systems Laboratory, University of Bristol, UK"],"affiliations":[{"raw_affiliation_string":"Intelligent Systems Laboratory, University of Bristol, UK","institution_ids":["https://openalex.org/I4210161128","https://openalex.org/I36234482"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089125860","display_name":"Niall Twomey","orcid":"https://orcid.org/0000-0002-3225-2654"},"institutions":[{"id":"https://openalex.org/I4210161128","display_name":"Bristol Robotics Laboratory","ror":"https://ror.org/056sbyc67","country_code":"GB","type":"facility","lineage":["https://openalex.org/I4210161128"]},{"id":"https://openalex.org/I36234482","display_name":"University of Bristol","ror":"https://ror.org/0524sp257","country_code":"GB","type":"education","lineage":["https://openalex.org/I36234482"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Niall Twomey","raw_affiliation_strings":["Intelligent Systems Laboratory, University of Bristol, UK"],"affiliations":[{"raw_affiliation_string":"Intelligent Systems Laboratory, University of Bristol, UK","institution_ids":["https://openalex.org/I4210161128","https://openalex.org/I36234482"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057936560","display_name":"Peter Flach","orcid":"https://orcid.org/0000-0001-6857-5810"},"institutions":[{"id":"https://openalex.org/I4210161128","display_name":"Bristol Robotics Laboratory","ror":"https://ror.org/056sbyc67","country_code":"GB","type":"facility","lineage":["https://openalex.org/I4210161128"]},{"id":"https://openalex.org/I36234482","display_name":"University of Bristol","ror":"https://ror.org/0524sp257","country_code":"GB","type":"education","lineage":["https://openalex.org/I36234482"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Peter Flach","raw_affiliation_strings":["Intelligent Systems Laboratory, University of Bristol, UK"],"affiliations":[{"raw_affiliation_string":"Intelligent Systems Laboratory, University of Bristol, UK","institution_ids":["https://openalex.org/I4210161128","https://openalex.org/I36234482"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.225,"has_fulltext":true,"fulltext_origin":"pdf","cited_by_count":2,"citation_normalized_percentile":{"value":0.361412,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":73,"max":77},"biblio":{"volume":"1","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9967,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9967,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9959,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9958,"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/neural-coding","display_name":"Neural coding","score":0.5166652},{"id":"https://openalex.org/keywords/elastic-net-regularization","display_name":"Elastic net regularization","score":0.4522614},{"id":"https://openalex.org/keywords/replicate","display_name":"Replicate","score":0.43205804}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7847445},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6098312},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.583348},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.57776666},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.5580993},{"id":"https://openalex.org/C77637269","wikidata":"https://www.wikidata.org/wiki/Q7002051","display_name":"Neural coding","level":2,"score":0.5166652},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4795646},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.47537628},{"id":"https://openalex.org/C203868755","wikidata":"https://www.wikidata.org/wiki/Q5353562","display_name":"Elastic net regularization","level":3,"score":0.4522614},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.44563204},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.44544002},{"id":"https://openalex.org/C2781162219","wikidata":"https://www.wikidata.org/wiki/Q26250693","display_name":"Replicate","level":2,"score":0.43205804},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.42046806},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35362047},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11445257},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/mlsp.2016.7738851","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":"https://research-information.bris.ac.uk/en/publications/3f2a189d-2267-441b-aeaa-0b07b4e46cd2","pdf_url":"https://research-information.bris.ac.uk/files/117032707/Tom_Diethe_BDL.NET_BAYESIAN_DICTIONARY_LEARNING_IN_INFER.NET.pdf","source":{"id":"https://openalex.org/S4306400895","display_name":"Bristol Research (University of Bristol)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I36234482","host_organization_name":"University of Bristol","host_organization_lineage":["https://openalex.org/I36234482"],"host_organization_lineage_names":["University of Bristol"],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":"https://research-information.bris.ac.uk/ws/files/117032707/Tom_Diethe_BDL.NET_BAYESIAN_DICTIONARY_LEARNING_IN_INFER.NET.pdf","pdf_url":"https://research-information.bris.ac.uk/ws/files/117032707/Tom_Diethe_BDL.NET_BAYESIAN_DICTIONARY_LEARNING_IN_INFER.NET.pdf","source":{"id":"https://openalex.org/S4306400895","display_name":"Bristol Research (University of Bristol)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I36234482","host_organization_name":"University of Bristol","host_organization_lineage":["https://openalex.org/I36234482"],"host_organization_lineage_names":["University of Bristol"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://research-information.bris.ac.uk/en/publications/3f2a189d-2267-441b-aeaa-0b07b4e46cd2","pdf_url":"https://research-information.bris.ac.uk/files/117032707/Tom_Diethe_BDL.NET_BAYESIAN_DICTIONARY_LEARNING_IN_INFER.NET.pdf","source":{"id":"https://openalex.org/S4306400895","display_name":"Bristol Research (University of Bristol)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I36234482","host_organization_name":"University of Bristol","host_organization_lineage":["https://openalex.org/I36234482"],"host_organization_lineage_names":["University of Bristol"],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false},"sustainable_development_goals":[{"score":0.48,"id":"https://metadata.un.org/sdg/4","display_name":"Quality education"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":20,"referenced_works":["https://openalex.org/W134960717","https://openalex.org/W1535882708","https://openalex.org/W1606802555","https://openalex.org/W1934021597","https://openalex.org/W2021498898","https://openalex.org/W2063781553","https://openalex.org/W2093545205","https://openalex.org/W2112447569","https://openalex.org/W2117259536","https://openalex.org/W2128638419","https://openalex.org/W2145889472","https://openalex.org/W2156358825","https://openalex.org/W22482183","https://openalex.org/W2290857936","https://openalex.org/W2469594746","https://openalex.org/W262970172","https://openalex.org/W2953139536","https://openalex.org/W4205213118","https://openalex.org/W4285719527","https://openalex.org/W62491536"],"related_works":["https://openalex.org/W4394550905","https://openalex.org/W4254851101","https://openalex.org/W4213314600","https://openalex.org/W3211319599","https://openalex.org/W3171007296","https://openalex.org/W2470062578","https://openalex.org/W2321234655","https://openalex.org/W22115721","https://openalex.org/W2122825543","https://openalex.org/W2065444835"],"abstract_inverted_index":{"We":[0,80,94],"introduce":[1],"and":[2,6,78],"analyse":[3,81],"a":[4],"flexible":[5],"efficient":[7],"implementation":[8],"of":[9,84,101],"Bayesian":[10],"dictionary":[11],"learning":[12,39],"for":[13,33,49,52,75],"sparse":[14],"coding.":[15],"By":[16],"placing":[17],"Gaussian-inverse-Gamma":[18],"hierarchical":[19],"priors":[20],"on":[21,90],"the":[22,24,29,40,44,47,72,82,85,102],"coefficients,":[23],"model":[25,57,86],"can":[26,58],"automatically":[27,38],"determine":[28],"required":[30],"sparsity":[31,54],"level":[32,42],"good":[34],"reconstructions,":[35],"whilst":[36],"also":[37],"noise":[41],"in":[43,71,104],"data,":[45],"obviating":[46],"need":[48],"heuristic":[50],"methods":[51],"choosing":[53],"levels.":[55],"This":[56],"be":[59],"solved":[60],"efficiently":[61],"using":[62],"Variational":[63],"Message":[64],"Passing":[65],"(VMP),":[66],"which":[67],"we":[68],"have":[69],"implemented":[70],"Infer.NET":[73],"framework":[74],"probabilistic":[76],"programming":[77],"inference.":[79],"properties":[83],"via":[87],"empirical":[88],"validation":[89],"several":[91],"accelerometer":[92],"datasets.":[93],"provide":[95],"source":[96],"code":[97],"to":[98],"replicate":[99],"all":[100],"experiments":[103],"this":[105],"paper.":[106]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2551874332","counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2024-12-12T17:05:35.019138","created_date":"2016-11-30"}