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المصدر: International Journal of Approximate Reasoning. 78:15-32
مصطلحات موضوعية: Theoretical computer science, Applied Mathematics, Probabilistic logic, Inference, 0102 computer and information sciences, 02 engineering and technology, 01 natural sciences, Theoretical Computer Science, Propositional formula, Approximate inference, 010201 computation theory & mathematics, Artificial Intelligence, Probabilistic logic network, Anytime algorithm, 0202 electrical engineering, electronic engineering, information engineering, Computer Science::Programming Languages, Knowledge compilation, 020201 artificial intelligence & image processing, Representation (mathematics), Algorithm, Software, Mathematics
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المؤلفون: Wannes Meert, Marian Verhelst, Jonas Vlasselaer
المساهمون: Brefeld, U, Curry, E, Daly, E, MacNamee, B, Marascu, A, Pinelli, F, Berlingerio, M, Hurley, N
المصدر: Machine Learning and Knowledge Discovery in Databases-European Conference, ECML PKDD 2018, Dublin, Ireland, September 10–14, 2018, Proceedings, Part III
Machine Learning and Knowledge Discovery in Databases ISBN: 9783030109967
ECML/PKDD (3)
Lecture Notes in Computer Science
Lecture Notes in Computer Science-Machine Learning and Knowledge Discovery in Databasesمصطلحات موضوعية: Exploit, Computer science, business.industry, 010401 analytical chemistry, 02 engineering and technology, Machine learning, computer.software_genre, 01 natural sciences, 0104 chemical sciences, Activity recognition, 0202 electrical engineering, electronic engineering, information engineering, Added value, 020201 artificial intelligence & image processing, Electronics, Artificial intelligence, User interface, business, computer, Wireless sensor network, Classifier (UML), Dynamic Bayesian network
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6e2f0390815d69e7754b9c3053d3041f
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المؤلفون: Marian Verhelst, Jonas Vlasselaer, Laura Galindez, Komail Badami, Wannes Meert
المصدر: IEEE Journal on Emerging and Selected Topics in Circuits and Systems
مصطلحات موضوعية: Scheme (programming language), Computer science, 020208 electrical & electronic engineering, Feature extraction, Real-time computing, Probabilistic logic, 02 engineering and technology, Activity recognition, Scalability, 0202 electrical engineering, electronic engineering, information engineering, Robot, 020201 artificial intelligence & image processing, Granularity, Electrical and Electronic Engineering, computer, computer.programming_language, Efficient energy use
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1f51f33a1c7d353e5176dfd36ffc8e4a
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المؤلفون: Jonas Vlasselaer, Francois Bremond, Anton Dries, Carlos Crispim-Junior
المساهمون: Spatio-Temporal Activity Recognition Systems (STARS), Inria Sophia Antipolis - Méditerranée (CRISAM), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Catholic University of Leuven - Katholieke Universiteit Leuven (KU Leuven)
المصدر: ICCV Workshops
Assisted Computer Vision and Robotics workshop in conjunction with International Conference on Computer Vision
Assisted Computer Vision and Robotics workshop in conjunction with International Conference on Computer Vision, Oct 2017, Venice, Italyمصطلحات موضوعية: Class (computer programming), Computer science, business.industry, Event (computing), Frame (networking), Probabilistic logic, [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], 0102 computer and information sciences, 02 engineering and technology, Machine learning, computer.software_genre, 01 natural sciences, Pipeline (software), [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], Task (project management), Visualization, 010201 computation theory & mathematics, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Artificial intelligence, Set (psychology), business, computer
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3e9a814bf4ea73307a0fc5d67be0d10c
https://doi.org/10.1109/iccvw.2017.160 -
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المؤلفون: Carlos Alzate, Johan A. K. Suykens, Wannes Meert, Bart De Ketelaere, Jonas Vlasselaer, Rocco Langone
المصدر: Engineering Applications of Artificial Intelligence. 37:268-278
مصطلحات موضوعية: SISTA, Process (engineering), Computer science, business.industry, Supervised learning, Condition monitoring, Machine learning, computer.software_genre, Fault detection and isolation, Spectral clustering, Support vector machine, Artificial Intelligence, Control and Systems Engineering, Artificial intelligence, Data mining, Electrical and Electronic Engineering, Time series, business, computer
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المؤلفون: Wannes Meert, Jonas Vlasselaer, Luc De Raedt, Guy Van den Broeck
المصدر: Vlasselaer, J; Meert, W; Van Den Broeck, G; & De Raedt, L. (2016). Exploiting local and repeated structure in Dynamic Bayesian Networks. Artificial Intelligence, 232, 43-53. doi: 10.1016/j.artint.2015.12.001. UCLA: Retrieved from: http://www.escholarship.org/uc/item/36w2b3wb
مصطلحات موضوعية: Linguistics and Language, Theoretical computer science, Artificial Intelligence and Image Processing, Computer science, Interface (Java), 0211 other engineering and technologies, Inference, 02 engineering and technology, Language and Linguistics, Artificial Intelligence, 0202 electrical engineering, electronic engineering, information engineering, Knowledge compilation, Artificial Intelligence & Image Processing, Variable elimination, Graphical model, Independence (probability theory), Dynamic Bayesian network, Probabilistic graphical models, 021103 operations research, Computation Theory and Mathematics, Complex network, Probabilistic inference, 020201 artificial intelligence & image processing, Cognitive Sciences, Generic health relevance, Dynamic Bayesian Networks
وصف الملف: application/pdf
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d304e05647e21a994702cbe6aa55715a
https://escholarship.org/uc/item/36w2b3wb -
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المؤلفون: Joris Renkens, Wannes Meert, Guy Van den Broeck, Angelika Kimmig, Jonas Vlasselaer, Anton Dries, Luc De Raedt
المساهمون: Bifet, A, May, M, Zadrozny, B, Gavalda, R, Pedreschi, D, Bonchi, F, Cardoso, J, Spiliopoulou, M
المصدر: Machine Learning and Knowledge Discovery in Databases ISBN: 9783319234601
ECML/PKDD (3)مصطلحات موضوعية: business.industry, Computer science, Probabilistic logic, Statistical relational learning, Inference, Probabilistic inference, Python (programming language), Machine learning, computer.software_genre, parameter learning, Probabilistic argumentation, Inductive programming, Probabilistic logic network, probabilistic programming, probabilistic inference, param- eter learning, Probabilistic CTL, probabilistic inference, Probabilistic analysis of algorithms, Artificial intelligence, Probabilistic programming language, business, computer, Probabilistic relevance model, computer.programming_language
وصف الملف: application/pdf
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::023d09c099a91df1a52627f036b31a31
https://doi.org/10.1007/978-3-319-23461-8_37 -
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المؤلفون: Gerda Janssens, Joris Renkens, Dimitar Shterionov, Wannes Meert, Jonas Vlasselaer, Angelika Kimmig
المساهمون: Davis, Jesse, Ramon, Jan
المصدر: Inductive Logic Programming ISBN: 9783319237077
ILPمصطلحات موضوعية: Theoretical computer science, business.industry, Statistical relational learning, Probabilistic logic, Statistical Relational Learning, Inference, Binary number, computer.software_genre, Probabilistic Logic Programming, ProbLog, Most Probable Explanation, Logic Prtograms with Annotated Disjunctions, Probability distribution, Artificial intelligence, Marginal distribution, Annotated Disjunctions, business, Random variable, computer, Logic programming, Natural language processing, Mathematics
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aa70f484956d5b92d7485df2acd6c591
https://doi.org/10.1007/978-3-319-23708-4_10
