deep belief network

Gaussian sampling by local perturbations NeurIPS 2010 Learning the Structure of Deep Sparse Graphical Models AISTATS 2010 Phone Recognition with the Mean-Covariance Restricted Boltzmann Machine NeurIPS 2010 PyBrain JMLR 2010 Why Does Unsupervised Pre-training Help Deep Learning? AISTATS 2010 Why Does Unsupervised Pre-training Help Deep Learning? JMLR 2010 3D Object Recognition with Deep Belief Nets NeurIPS 2009 Exploring Strategies for Training Deep Neural Networks JMLR 2009 Kernel Methods for Deep Learning NeurIPS 2009 Unsupervised feature learning for audio classification using convolutional deep belief networks NeurIPS 2009 Evaluating probabilities under high-dimensional latent variable models NeurIPS 2008 Modeling image patches with a directed hierarchy of Markov random fields NeurIPS 2007 Sparse deep belief net model for visual area V2 NeurIPS 2007 Sparse Feature Learning for Deep Belief Networks NeurIPS 2007 Using Deep Belief Nets to Learn Covariance Kernels for Gaussian Processes NeurIPS 2007