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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 8 of 8 1 Proactive control in processing English wh-dependencies ... Lin, Keng-Yu. - : Open Science Framework, 2022 BASE Show details 2 Cumulative Prospect Theory: Performance Evaluation of Government Purchases of Home-Based Elderly-Care Services Using the Pythagorean 2-tuple Linguistic TODIM Method Jianping Lu; Tingting He; Guiwu Wei... In: International Journal of Environmental Research and Public Health ; Volume 17 ; Issue 6 (2020) BASE Show details 3 Characteristics and Treatment Outcomes of Benign Paroxysmal Positional Vertigo in a Cohort of Veterans Akin, Faith W.; Riska, Kristal M.; Williams, Laura... In: ETSU Faculty Works (2017) BASE Show details 4 A formação da consciência do trabalhador rural escravizado : reflexões sobre as potencialidades dos processos formativos desenvolvidos pela Comissão Pastoral da Terra no Tocantins Andrade, Shirley Silveira. - 2015 BASE Show details 5 ezDI's Semantics-Enhanced Linguistic, NLP, and ML Approach for Health Informatics Goswami, Raxit; Shah, Neil; Sheth, Amit P. In: Publications (2015) BASE Show details 6 A Bayesian Network Approach to Ontology Mapping Pan, Rong; Ding, Zhongli; Yu, Yang; Peng, Yun In: DTIC AND NTIS (2005) Abstract: This paper presents our ongoing effort on developing a principled methodology for automatic ontology mapping based on BayesOWL, a probabilistic framework we developed for modeling uncertainty in semantic web. In this approach, the source and target ontologies are first translated into Bayesian networks (BN); the concept mapping between the two ontologies are treated as evidential reasoning between the two translated BNs. Probabilities needed for constructing conditional probability tables (CPT) during translation and for measuring semantic similarity during mapping are learned using text classification techniques where each concept in an ontology is associated with a set of semantically relevant text documents, which are obtained by ontology guided web mining. The basic ideas of this approach are validated by positive results from computer experiments on two small real-world ontologies. ; The original document contains color images. Sponsored in part by the National Science Foundation grant IIS-0326460. Keyword: *BAYES THEOREM; *MAPPING; *NETWORKS; *ONTOLOGY; *PROBABILITY; *SEMANTICS; BN(BAYESIAN NETWORKS); CLASSIFICATION; Computer Systems; CPT(CONDITIONAL PROBABILITY TABLES); DOCUMENTS; Linguistics; MODELS; SCALING FACTOR; Statistics and Probability URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA439697 http://www.dtic.mil/docs/citations/ADA439697 BASE Hide details 7 Event-Related Brain Potentials Depict Cognitive Disturbances in Children with Mild Traumatic Brain Injury Andrés A. González-garrido; José M. González-gonzález; Fabiola R. Gómez-velázquez... In: http://www.ccsenet.org/journal/index.php/ijps/article/download/30230/18500/ BASE Show details 8 Atypical EEG Beta Asymmetry in Adults with ADHD1 T. Sigi Hale; Susan L. Smalley; Patricia D. Walshaw... In: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2965023/pdf/nihms232783.pdf BASE Show details

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