Architectures

Sparse Feature Learning for Deep Belief Networks NeurIPS 2007 Subspace-Based Face Recognition in Analog VLSI NeurIPS 2007 Support Vector Machine Classification with Indefinite Kernels NeurIPS 2007 Unconstrained On-line Handwriting Recognition with Recurrent Neural Networks NeurIPS 2007 Using Deep Belief Nets to Learn Covariance Kernels for Gaussian Processes NeurIPS 2007 A Scalable Machine Learning Approach to Go NeurIPS 2006 A selective attention multi--chip system with dynamic synapses and spiking neurons NeurIPS 2006 Attentional Processing on a Spike-Based VLSI Neural Network NeurIPS 2006 Context dependent amplification of both rate and event-correlation in a VLSI network of spiking neurons NeurIPS 2006 Efficient Learning of Sparse Representations with an Energy-Based Model NeurIPS 2006 Fast Computation of Graph Kernels NeurIPS 2006 Greedy Layer-Wise Training of Deep Networks NeurIPS 2006 Learning on Graph with Laplacian Regularization NeurIPS 2006 Learning with Hypergraphs: Clustering, Classification, and Embedding NeurIPS 2006 Modeling Human Motion Using Binary Latent Variables NeurIPS 2006 Prediction on a Graph with a Perceptron NeurIPS 2006 Recursive ICA NeurIPS 2006 Temporal Coding using the Response Properties of Spiking Neurons NeurIPS 2006 The Neurodynamics of Belief Propagation on Binary Markov Random Fields NeurIPS 2006 Towards a general independent subspace analysis NeurIPS 2006 A Neural Probabilistic Language Model JMLR 2003 MLPs (Mono-Layer Polynomials and Multi-Layer Perceptrons) for Nonlinear Modeling JMLR 2003 The Principled Design of Large-Scale Recursive Neural Network Architectures--DAG-RNNs and the Protein Structure Prediction Problem JMLR 2003 Learning Precise Timing with LSTM Recurrent Networks JMLR 2002 Shallow Parsing using Specialized HMMs JMLR 2002