neural network

Tracking Changing Stimuli in Continuous Attractor Neural Networks NeurIPS 2008 Weighted Sums of Random Kitchen Sinks: Replacing minimization with randomization in learning NeurIPS 2008 A configurable analog VLSI neural network with spiking neurons and self-regulating plastic synapses NeurIPS 2007 A neural network implementing optimal state estimation based on dynamic spike train decoding NeurIPS 2007 An in-silico Neural Model of Dynamic Routing through Neuronal Coherence NeurIPS 2007 Contraction Properties of VLSI Cooperative Competitive Neural Networks of Spiking Neurons NeurIPS 2007 Learning to Classify Ordinal Data: The Data Replication Method JMLR 2007 Nonlinear Boosting Projections for Ensemble Construction JMLR 2007 Subspace-Based Face Recognition in Analog VLSI NeurIPS 2007 Theoretical Analysis of Learning with Reward-Modulated Spike-Timing-Dependent Plasticity NeurIPS 2007 Very Fast Online Learning of Highly Non Linear Problems JMLR 2007 A Scalable Machine Learning Approach to Go NeurIPS 2006 A Very Fast Learning Method for Neural Networks Based on Sensitivity Analysis JMLR 2006 Enhancing Supervised Terrain Classification with Predictive Unsupervised Learning RSS 2006 Learning to Rank with Nonsmooth Cost Functions NeurIPS 2006 Modeling Human Motion Using Binary Latent Variables NeurIPS 2006 Temporal Coding using the Response Properties of Spiking Neurons NeurIPS 2006 A Neural Probabilistic Language Model JMLR 2003 MLPs (Mono-Layer Polynomials and Multi-Layer Perceptrons) for Nonlinear Modeling JMLR 2003 Covering Number Bounds of Certain Regularized Linear Function Classes JMLR 2002