Artificial Intelligence

A Markov-Chain Monte Carlo Approach to Simultaneous Localization and Mapping AISTATS 2010 An Alternative to Low-level-Sychrony-Based Methods for Speech Detection NeurIPS 2010 Analysis and Control of a Dissipative Spring-Mass Hopper with Torque Actuation RSS 2010 An Approximate Inference Approach to Temporal Optimization in Optimal Control NeurIPS 2010 An Efficient Explanation of Individual Classifications using Game Theory JMLR 2010 An EM Algorithm on BDDs with Order Encoding for Logic-based Probabilistic Models ACML 2010 A New Probabilistic Model for Rank Aggregation NeurIPS 2010 A POMDP Extension with Belief-dependent Rewards NeurIPS 2010 Approximate Inference by Compilation to Arithmetic Circuits NeurIPS 2010 Approximate inference in continuous time Gaussian-Jump processes NeurIPS 2010 Approximate Inference on Planar Graphs using Loop Calculus and Belief Propagation JMLR 2010 A rational decision making framework for inhibitory control NeurIPS 2010 Assessing Optimal Assignment under Uncertainty: An Interval-based Algorithm RSS 2010 A Study of Approximate Inference in Probabilistic Relational Models ACML 2010 Attractor Dynamics with Synaptic Depression NeurIPS 2010 A unified model of short-range and long-range motion perception NeurIPS 2010 Auto-Regressive HMM Inference with Incomplete Data for Short-Horizon Wind Forecasting NeurIPS 2010 A VLSI Implementation of the Adaptive Exponential Integrate-and-Fire Neuron Model NeurIPS 2010 A Weighted Multi-Sequence Markov Model For Brain Lesion Segmentation AISTATS 2010 Back-drivable and Inherently Safe Mechanism for Artificial Finger RSS 2010 Batch Bayesian Optimization via Simulation Matching NeurIPS 2010 Bayesian Action-Graph Games NeurIPS 2010 Bayesian Gaussian Process Latent Variable Model AISTATS 2010 Bayesian Learning in Sparse Graphical Factor Models via Variational Mean-Field Annealing JMLR 2010 Bayesian structure discovery in Bayesian networks with less space AISTATS 2010