{"id":"https://openalex.org/W2040097129","doi":"https://doi.org/10.1142/s0218213005002211","title":"REAL TIME INFERENCE IN BAYESIAN NETWORKS: AN ANYTIME APPROACH","display_name":"REAL TIME INFERENCE IN BAYESIAN NETWORKS: AN ANYTIME APPROACH","publication_year":2005,"publication_date":"2005-06-01","ids":{"openalex":"https://openalex.org/W2040097129","doi":"https://doi.org/10.1142/s0218213005002211","mag":"2040097129"},"language":"en","primary_location":{"id":"doi:10.1142/s0218213005002211","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218213005002211","pdf_url":null,"source":{"id":"https://openalex.org/S178780388","display_name":"International Journal of Artificial Intelligence Tools","issn_l":"0218-2130","issn":["0218-2130","1793-6349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal on Artificial Intelligence Tools","raw_type":"journal-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/A5008274900","display_name":"Laila Khreisat","orcid":null},"institutions":[{"id":"https://openalex.org/I156983542","display_name":"Jordan University of Science and Technology","ror":"https://ror.org/03y8mtb59","country_code":"JO","type":"education","lineage":["https://openalex.org/I156983542"]}],"countries":["JO"],"is_corresponding":true,"raw_author_name":"LAILA KHREISAT","raw_affiliation_strings":["Department of Computer Science and Information Systems,  Jordan University of Science and Technology,  P.O. Box 3030 Irbid 22110, Jordan","Department of Computer Science and Information Systems, Jordan University of Science and Technology, P.O. Box 3030 Irbid 22110, Jordan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Systems,  Jordan University of Science and Technology,  P.O. Box 3030 Irbid 22110, Jordan","institution_ids":["https://openalex.org/I156983542"]},{"raw_affiliation_string":"Department of Computer Science and Information Systems, Jordan University of Science and Technology, P.O. Box 3030 Irbid 22110, Jordan","institution_ids":["https://openalex.org/I156983542"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5008274900"],"corresponding_institution_ids":["https://openalex.org/I156983542"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10939642,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"14","issue":"03","first_page":"477","last_page":"489"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9998999834060669,"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9998999834060669,"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/T11719","display_name":"Data Quality and Management","score":0.9690999984741211,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10906","display_name":"AI-based Problem Solving and Planning","score":0.9603999853134155,"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":0.886492908000946},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.7283012866973877},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.7240381240844727},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5386568903923035},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5348471999168396},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49321287870407104},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.48753687739372253},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.46381351351737976},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.46190956234931946},{"id":"https://openalex.org/keywords/resource-consumption","display_name":"Resource consumption","score":0.4488605856895447},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34882819652557373},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3109983801841736}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.886492908000946},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.7283012866973877},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.7240381240844727},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5386568903923035},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5348471999168396},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49321287870407104},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.48753687739372253},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46381351351737976},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.46190956234931946},{"id":"https://openalex.org/C2777480716","wikidata":"https://www.wikidata.org/wiki/Q23582796","display_name":"Resource consumption","level":2,"score":0.4488605856895447},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34882819652557373},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3109983801841736},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218213005002211","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218213005002211","pdf_url":null,"source":{"id":"https://openalex.org/S178780388","display_name":"International Journal of Artificial Intelligence Tools","issn_l":"0218-2130","issn":["0218-2130","1793-6349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal on Artificial Intelligence Tools","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","score":0.6499999761581421,"id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1980452149","https://openalex.org/W1999432334","https://openalex.org/W2169250070","https://openalex.org/W2987089711","https://openalex.org/W4250143236","https://openalex.org/W4300622081"],"related_works":["https://openalex.org/W2372267530","https://openalex.org/W2585791450","https://openalex.org/W3015855446","https://openalex.org/W4303857162","https://openalex.org/W2965643117","https://openalex.org/W4288266653","https://openalex.org/W2407375987","https://openalex.org/W2505726097","https://openalex.org/W2950975704","https://openalex.org/W3049691116"],"abstract_inverted_index":{"One":[0],"of":[1,19,49,62],"the":[2,15,60,63,86,94],"major":[3],"challenges":[4],"facing":[5],"real":[6,30],"time":[7,31,69],"world":[8],"applications":[9],"that":[10],"employ":[11],"Bayesian":[12,35,55],"networks,":[13],"is":[14,39,82],"design":[16],"and":[17,52,77],"development":[18],"efficient":[20],"inference":[21,32],"algorithms.":[22],"In":[23,57],"this":[24],"paper":[25],"we":[26],"present":[27],"an":[28,40],"approximate":[29],"algorithm":[33,38],"for":[34],"Networks.":[36],"The":[37,80],"anytime":[41],"reasoning":[42],"method":[43,59,81],"based":[44],"on":[45],"probabilistic":[46],"inequalities,":[47],"capable":[48],"handling":[50],"fully":[51],"partially":[53],"quantified":[54],"networks.":[56],"our":[58],"accuracy":[61],"results":[64],"improve":[65],"gradually":[66],"as":[67,89,91],"computation":[68],"increases,":[70],"providing":[71,85],"a":[72],"trade-off":[73],"between":[74],"resource":[75],"consumption":[76],"output":[78],"quality.":[79],"tractable":[83],"in":[84,93],"initial":[87],"answers,":[88],"well":[90],"complete":[92],"limiting":[95],"case.":[96]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}