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Artificial Intelligence

72,274 papers (0 classified directly here)

Subtopics

Core AI (59,089) Learning Paradigms (14,108) Bayesian & Probabilistic (4,335)

Papers per year

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14833
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Papers (including subtopics)

Mixture of time-warped trajectory models for movement decoding NIPS 2010
Self-Paced Learning for Latent Variable Models NIPS 2010
Learning Efficient Markov Networks NIPS 2010
Batch Bayesian Optimization via Simulation Matching NIPS 2010
Inference with Multivariate Heavy-Tails in Linear Models NIPS 2010
Towards Holistic Scene Understanding: Feedback Enabled Cascaded Classification Models NIPS 2010
Learning the context of a category NIPS 2010
Monte-Carlo Planning in Large POMDPs NIPS 2010
Functional form of motion priors in human motion perception NIPS 2010
Layered image motion with explicit occlusions, temporal consistency, and depth ordering NIPS 2010
Implicit encoding of prior probabilities in optimal neural populations NIPS 2010
Probabilistic Inference and Differential Privacy NIPS 2010
Copula Processes NIPS 2010
Learning invariant features using the Transformed Indian Buffet Process NIPS 2010
Learning sparse dynamic linear systems using stable spline kernels and exponential hyperpriors NIPS 2010
Efficient Collapsed Gibbs Sampling for Latent Dirichlet Allocation ACML 2010
Variational Relevance Vector Machine for Tabular Data ACML 2010
Hierarchical Gaussian Process Regression ACML 2010
An EM Algorithm on BDDs with Order Encoding for Logic-based Probabilistic Models ACML 2010
A Study of Approximate Inference in Probabilistic Relational Models ACML 2010
Multitask Learning for Brain-Computer Interfaces AISTATS 2010
Efficient Multioutput Gaussian Processes through Variational Inducing Kernels AISTATS 2010
Using Descendants as Instrumental Variables for the Identification of Direct Causal Effects in Linear SEMs AISTATS 2010
Why are DBNs sparse? AISTATS 2010
Focused Belief Propagation for Query-Specific Inference AISTATS 2010