Artificial Intelligence

A Bayesian Framework for Cross-Situational Word-Learning NeurIPS 2007 A Bayesian LDA-based model for semi-supervised part-of-speech tagging NeurIPS 2007 A Bayesian Model of Conditioned Perception NeurIPS 2007 A configurable analog VLSI neural network with spiking neurons and self-regulating plastic synapses NeurIPS 2007 Active Policy Learning for Robot Planning and Exploration under Uncertainty RSS 2007 Active Preference Learning with Discrete Choice Data NeurIPS 2007 Adaptive Embedded Subgraph Algorithms using Walk-Sum Analysis NeurIPS 2007 A Discrete Geometric Optimal Control Framework for Systems with Symmetries RSS 2007 A Game-Theoretic Approach to Apprenticeship Learning NeurIPS 2007 A general agnostic active learning algorithm NeurIPS 2007 Agreement-Based Learning NeurIPS 2007 A neural network implementing optimal state estimation based on dynamic spike train decoding NeurIPS 2007 A New Probabilistic Approach in Rank Regression with Optimal Bayesian Partitioning JMLR 2007 A New View of Automatic Relevance Determination NeurIPS 2007 An Implicit Time-Stepping Method for Multibody Systems with Intermittent Contact RSS 2007 An in-silico Neural Model of Dynamic Routing through Neuronal Coherence NeurIPS 2007 An online Hebbian learning rule that performs Independent Component Analysis NeurIPS 2007 A Probabilistic Approach to Language Change NeurIPS 2007 A probabilistic model for generating realistic lip movements from speech NeurIPS 2007 A Randomized Algorithm for Large Scale Support Vector Learning NeurIPS 2007 A Spectral Regularization Framework for Multi-Task Structure Learning NeurIPS 2007 A Tree Parameterization for Efficiently Computing Maximum Likelihood Maps using Gradient Descent RSS 2007 Automatic Generation of Social Tags for Music Recommendation NeurIPS 2007 Bayes-Adaptive POMDPs NeurIPS 2007 Bayesian Agglomerative Clustering with Coalescents NeurIPS 2007