Results 11 to 20 of about 471,788 (278)
Opinion Dynamics with Bayesian Learning [PDF]
Complexity, 2020 Bayesian learning is a rational and effective strategy in the opinion dynamic process. In this paper, we theoretically prove that individual Bayesian learning can realize asymptotic learning and we test it by simulations on the Zachary network.
Aili Fang +3 more
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A Survey on Bayesian Deep Learning [PDF]
ACM Computing Surveys, 2020 A comprehensive artificial intelligence system needs to not only perceive the environment with different `senses' (e.g., seeing and hearing) but also infer the world's conditional (or even causal) relations and corresponding uncertainty.
Wang, Hao, Yeung, Dit-Yan
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Calibration and Bayesian learning [PDF]
Games and Economic Behavior, 1999 In a repeated game of incomplete information, myopic players form beliefs on next-period play and choose strategies to maximize next-period payoffs. Beliefs are treated as forecast of future plays.
Nurlan Turdaliev
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J. Mach. Learn. Res., 2021 We show that many machine-learning algorithms are specific instances of a single algorithm called the \emph{Bayesian learning rule}. The rule, derived from Bayesian principles, yields a wide-range of algorithms from fields such as optimization, deep learning, and graphical models.
Mohammad Emtiyaz Khan, Håvard Rue
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IEEE Access, 2022 To address the problem of low efficiency of the existing hill-climbing algorithm in Bayesian network structure learning, this paper proposes a Bayesian network structure learning algorithm based on probabilistic incremental analysis and constraints.
Haoran Liu +7 more
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Bayesian learning in negotiation [PDF]
International Journal of Human-Computer Studies, 1998 Negotiation has been extensively discussed in game-theoretic, economic and management science literatures for decades. Recent growing interest in autonomous interacting software agents and their potential application in areas such as electronic commerce has give increased importance to automated negotiation.
Daniel Dajun Zeng, Katia P. Sycara
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Students' learning style detection using tree augmented naive Bayes [PDF]
Royal Society Open Science, 2018 Students are characterized according to their own distinct learning styles. Discovering students' learning style is significant in the educational system in order to provide adaptivity.
Ling Xiao Li, Siti Soraya Abdul Rahman
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Stochastic Control for Bayesian Neural Network Training
Entropy, 2022 In this paper, we propose to leverage the Bayesian uncertainty information encoded in parameter distributions to inform the learning procedure for Bayesian models.
Ludwig Winkler +2 more
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Noisy Bayesian active learning [PDF]
2012 50th Annual Allerton Conference on Communication, Control, and Computing (Allerton), 2012 39 pages (one-column), 5 figures, submitted to IEEE Transactions on Information ...
Mohammad Naghshvar +2 more
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A Noise-Robust Fast Sparse Bayesian Learning Model [PDF]
, 2020 This paper utilizes the hierarchical model structure from the Bayesian Lasso in the Sparse Bayesian Learning process to develop a new type of probabilistic supervised learning approach.
Helgøy, Ingvild M., Li, Yushu
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