Results 11 to 20 of about 99,019 (263)
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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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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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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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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Bayesian learning with Wasserstein barycenters
ESAIM: Probability and Statistics, 2022 We introduce and study a novel model-selection strategy for Bayesian learning, based on optimal transport, along with its associated predictive posterior law: the Wasserstein population barycenter of the posterior law over models. We first show how this estimator, termed Bayesian Wasserstein barycenter (BWB), arises naturally in a general, parameter ...
Backhoff-Veraguas, Julio Daniel +3 more
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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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Calibration and Bayesian Learning [PDF]
Games and Economic Behavior, 1999 According to the author, in a repeated game of incomplete information, myopic players form beliefs on next-period play and choose strategies to maximize next-period payoffs, and their beliefs are treated as forecast of future plays. The forecast accuracy is assessed using calibration tests, which measure asymptotic accuracy of beliefs against some ...
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Non-Bayesian social learning [PDF]
Games and Economic Behavior, 2012 We develop a dynamic model of opinion formation in social networks when the information required for learning a payoff-relevant parameter may not be at the disposal of any single agent. Individuals engage in communication with their neighbors in order to learn from their experiences.
Ali Jadbabaie +3 more
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Using consensus bayesian network to model the reactive oxygen species regulatory pathway. [PDF]
PLoS ONE, 2013 Bayesian network is one of the most successful graph models for representing the reactive oxygen species regulatory pathway. With the increasing number of microarray measurements, it is possible to construct the bayesian network from microarray data ...
Liangdong Hu, Limin Wang
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Bayesian Quantum Neural Networks
IEEE Access, 2022 The astounding acceleration in Artificial Intelligence and Quantum Computing advances naturally gives rise to a line of research, which unrolls the potential advantages of quantum computing on classical Machine Learning tasks, known as Quantum Machine ...
Nam Nguyen, Kwang-Cheng Chen
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