Books on the topic 'Bayesian neural network'
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Lim, Chee Peng. Probabilistic fuzzy ARTMAP: An autonomous neural network architecture for Bayesian probability estimation. University of Sheffield, Dept. of Automatic Control & Systems Engineering, 1995.
Find full textWang, Jun. A Bayesian classifier based on a deterministic annealing neural network for aircraft fault classification. Human Resources Directorate, Logistics Research Division, U.S. Air Force Armstrong Laboratory, 1997.
Find full textNeal, Radford M. Bayesian learning for neural networks. University of Toronto, Dept. of Computer Science, 1995.
Find full textNeal, Radford M. Bayesian Learning for Neural Networks. Springer New York, 1996. http://dx.doi.org/10.1007/978-1-4612-0745-0.
Full textE, Holmes Dawn, Jain L. C, and SpringerLink (Online service), eds. Innovations in Bayesian Networks: Theory and Applications. Springer-Verlag Berlin Heidelberg, 2008.
Find full text1955-, Lucas Peter, Gámez José A, and Salmerón Antonio, eds. Advances in probabilistic graphical models. Springer, 2007.
Find full textNeal, Radford M. Bayesian Learning for Neural Networks. Springer London, Limited, 2012.
Find full textGámez, José A., Serafín Moral, and Antonio Salmerón. Advances in Bayesian networks. 2010.
Find full textJohn, Noble, and Timo Koski. Bayesian Networks: An Introduction. Wiley & Sons, Incorporated, John, 2011.
Find full textJohn, Noble, and Timo Koski. Bayesian Networks: An Introduction. Wiley & Sons, Incorporated, John, 2011.
Find full textJohn, Noble, and Timo Koski. Bayesian Networks: An Introduction. Wiley & Sons, Incorporated, John, 2009.
Find full textJohn, Noble, and Timo Koski. Bayesian Networks: An Introduction. Wiley & Sons, Limited, John, 2009.
Find full textKorb, Kevin B., and Ann E. Nicholson. Bayesian Artificial Intelligence. Taylor & Francis Group, 2010.
Find full textKorb, Kevin B., and Ann E. Nicholson. Bayesian Artificial Intelligence. Taylor & Francis Group, 2010.
Find full textKorb, Kevin B., and Ann E. Nicholson. Bayesian Artificial Intelligence. Taylor & Francis Group, 2003.
Find full textNielsen, Thomas Dyhre, and Finn VERNER JENSEN. Bayesian Networks and Decision Graphs. Springer, 2007.
Find full textNielsen, Thomas Dyhre, and Finn VERNER JENSEN. Bayesian Networks and Decision Graphs. Springer New York, 2013.
Find full textNielsen, Thomas D., and Finn V. Jensen. Bayesian Networks and Decision Graphs. Springer New York, 2010.
Find full textHolmes, Dawn E. Innovations in Bayesian Networks: Theory and Applications. Springer Berlin / Heidelberg, 2010.
Find full text(Editor), José A. Gámez, Serafin Moral (Editor), and Antonio Salmerón (Editor), eds. Advances in Bayesian Networks (Studies in Fuzziness and Soft Computing). Springer, 2004.
Find full text(Editor), Alexander Gammerman, J. G. Taylor (Editor), and V. Rayward-Smith (Editor), eds. Probabilistic Reasoning and Bayesian Belief Networks / Neural Networks / Applications of Modern Heuristic Methods. Alfred Waller, 1994.
Find full textTakikawa, Masami. Representations and algorithms for efficient inference in Bayesian networks. 1998.
Find full textApproximation methods for efficient learning of Bayesian networks. IOS Press, 2008.
Find full textAdaptive Learning Of Polynomial Networks Genetic Programming Backpropagation And Bayesian Methods. Springer, 2011.
Find full textBenatan, Matt, Jochem Gietema, and Marian Schneider. Bayesian Deep Learning: Work with Bayesian Neural Networks BNN and BDL to Employ an Ensemble of Deep Learning Models. Packt Publishing, Limited, 2023.
Find full textLauwereyns, Jan. Anatomy of Bias: How Neural Circuits Weigh the Options. MIT Press, 2011.
Find full textLauwereyns, Jan. Anatomy of Bias: How Neural Circuits Weigh the Options. MIT Press, 2011.
Find full textLauwereyns, Jan. Anatomy of Bias: How Neural Circuits Weigh the Options. MIT Press, 2011.
Find full textLauwereyns, Jan. The Anatomy of Bias: How Neural Circuits Weigh the Options. The MIT Press, 2011.
Find full textLee, Herbert K. H. Baysian Nonparametrics via Neural Networks (ASA-SIAM Series on Statistics and Applied Probability). SIAM: Society for Industrial and Applied Mathematics, 2004.
Find full textNikolaev, Nikolay, and Hitoshi Iba. Adaptive Learning of Polynomial Networks: Genetic Programming, Backpropagation and Bayesian Methods. Springer, 2006.
Find full textKorb, Kevin B., and Ann E. Nicholson. Bayesian Artificial Intelligence (Chapman & Hall/Crc Computer Science and Data Analysis). Chapman & Hall/CRC, 2003.
Find full textA Discriminative Approach to Bayesian Filtering with Applications to Human Neural Decoding. Brown University, 2019.
Find full textFukuda, Hitoshi, Benjamin W. Y. Lo, Yusuke Nishimura, Yee-Yin Wan, and Aurora W. M. Lo. Brain-Body Interactions: Contemporary Outcome Prediction in Aneurysmal Subarachnoid Hemorrhage Using Bayesian Neural Networks and Fuzzy Logic. Nova Science Publishers, Incorporated, 2014.
Find full textLucas, Peter, José A. Gámez, and Antonio Salmerón Cerdan. Advances in Probabilistic Graphical Models. Springer London, Limited, 2007.
Find full textLucas, Peter, José A. Gámez, Various, and Antonio Salmerón Cerdan. Advances in Probabilistic Graphical Models. Springer, 2010.
Find full textStatistical And Evolutionary Analysis Of Biological Networks. Imperial College Press, 2010.
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