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Stochastic Processes

2667 directly classified papers

Papers per year

Papers

Markov Chain Monte Carlo with People NIPS 2007
Optimal Change-Detection and Spiking Neurons NIPS 2006
The Iterated Sigma Point Kalman Filter with Applications to Long Range Stereo RSS 2006
A Novel Gaussian Sum Smoother for Approximate Inference in Switching Linear Dynamical Systems NIPS 2006
iLSTD: Eligibility Traces and Convergence Analysis NIPS 2006
Temporal dynamics of information content carried by neurons in the primary visual cortex NIPS 2006
Geometric Variance Reduction in Markov Chains: Application to Value Function and Gradient Estimation JMLR 2006
Step Size Adaptation in Reproducing Kernel Hilbert Space JMLR 2006
Expectation Correction for Smoothed Inference in Switching Linear Dynamical Systems JMLR 2006
Bayesian Policy Gradient Algorithms NIPS 2006
Dynamic Maps for Long-Term Operation of Mobile Service Robots RSS 2005
Gaussian Processes for Ordinal Regression JMLR 2005
Reinforcement Learning with Factored States and Actions JMLR 2004
Statistical Dynamics of On-line Independent Component Analysis JMLR 2003
FINkNN: A Fuzzy Interval Number k-Nearest Neighbor Classifier for Prediction of Sugar Production from Populations of Samples JMLR 2003
Tree-Structured Neural Decoding JMLR 2003
A Generative Model for Separating Illumination and Reflectance from Images JMLR 2003