UNIVERSITY OF SOUTHAMPTON Interpretable Modelling with Sparse Kernels - Variational Monte Carlo - Document - PDFSEARCH.IO

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	UNIVERSITY OF SOUTHAMPTON Interpretable Modelling with Sparse Kernels Add to Reading List Document Date: 2002-08-20 18:16:49 Open Document File Size: 2,85 MB Share Result on Facebook City Boston / / Company Neural Networks / Bayesian Neural Networks / Traditional Neural Networks / / Facility UNIVERSITY OF SOUTHAMPTON Interpretable Modelling / / IndustryTerm signal processing communities / metal / chemical composition / interpretable learning algorithms / / Organization UNIVERSITY OF SOUTHAMPTON Interpretable Modelling / UNIVERSITY OF SOUTHAMPTON ABSTRACT FACULTY OF ENGINEERING AND APPLIED SCIENCE DEPARTMENT OF ELECTRONICS AND COMPUTER SCIENCE Doctor of Philosophy / Engineering and Applied Science Department of Electronics and Computer Science / Faculty of Engineering / / Position Bishop / / Technology neural network / 7.4 The Metropolis-Hastings algorithm / machine learning / interpretable learning algorithms / SUPANOVA algorithm / / SocialTag Markov chain Monte Carlo Bayesian inference Variational Bayesian methods Hyperparameter Machine learning Gibbs sampling Statistics Bayesian statistics Bayesian network

UNIVERSITY OF SOUTHAMPTON Interpretable Modelling with Sparse KernelsAdd to Reading List