NIPS 2003 Feature Selection Workshop Classification for High Dimensional Problems Using Bayesian Neural Networks and Dirichlet Diffusion Trees Radford M. Neal and Jianguo Zhang - Hyperparameter - Document - PDFSEARCH.IO

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	NIPS 2003 Feature Selection Workshop Classification for High Dimensional Problems Using Bayesian Neural Networks and Dirichlet Diffusion Trees Radford M. Neal and Jianguo Zhang Add to Reading List Document Date: 2003-12-19 14:19:32 Open Document File Size: 541,85 KB Share Result on Facebook Company Neural Networks / High Dimensional Problems Using Bayesian Neural Networks / / Facility Jianguo Zhang University of Toronto Outline / / Holiday Assumption / / IndustryTerm multilayer perceptron networks / / Organization Jianguo Zhang University of Toronto Outline / / Person Geoffrey Hinton / Radford M. Neal / / Position Chair Research / representative / / PublishedMedium Machine Learning / / Technology neural network / Machine Learning / / SocialTag Statistical inference Statistical models Multivariate statistics Overfitting Bayesian inference Bayesian network Early stopping Feature selection Hyperparameter Statistics

NIPS 2003 Feature Selection Workshop Classification for High Dimensional Problems Using Bayesian Neural Networks and Dirichlet Diffusion Trees Radford M. Neal and Jianguo ZhangAdd to Reading List