Artificial Intelligence

Learning and Model-Checking Networks of I/O Automata ACML 2012 Learning curves for multi-task Gaussian process regression NeurIPS 2012 Learning from the Wisdom of Crowds by Minimax Entropy NeurIPS 2012 Learning Label Trees for Probabilistic Modelling of Implicit Feedback NeurIPS 2012 Learning Latent Variable Models by Pairwise Cluster Comparison ACML 2012 Learning Linear Cyclic Causal Models with Latent Variables JMLR 2012 Learning Multiple Tasks using Shared Hypotheses NeurIPS 2012 Learning optimal spike-based representations NeurIPS 2012 Learning Partially Observable Models Using Temporally Abstract Decision Trees NeurIPS 2012 Learning the Architecture of Sum-Product Networks Using Clustering on Variables NeurIPS 2012 Learning Valuation Functions COLT 2012 Learning visual motion in recurrent neural networks NeurIPS 2012 Learning with Target Prior NeurIPS 2012 Lifted Variable Elimination with Arbitrary Constraints AISTATS 2012 Lightning-speed Structure Learning of Nonlinear Continuous Networks AISTATS 2012 Localizing 3D cuboids in single-view images NeurIPS 2012 Locating Changes in Highly Dependent Data with Unknown Number of Change Points NeurIPS 2012 Majorization for CRFs and Latent Likelihoods NeurIPS 2012 MAP Inference in Chains using Column Generation NeurIPS 2012 Markov Logic Mixtures of Gaussian Processes: Towards Machines Reading Regression Data AISTATS 2012 MCMC for continuous-time discrete-state systems NeurIPS 2012 Memorability of Image Regions NeurIPS 2012 Meta-Gaussian Information Bottleneck NeurIPS 2012 Minimax Multi-Task Learning and a Generalized Loss-Compositional Paradigm for MTL NeurIPS 2012 Minimization of Continuous Bethe Approximations: A Positive Variation NeurIPS 2012