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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

2
22
193
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14833
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Papers (including subtopics)

Using Combinatorial Optimization within Max-Product Belief Propagation NIPS 2006
Analysis of Contour Motions NIPS 2006
Learning to be Bayesian without Supervision NIPS 2006
Causal inference in sensorimotor integration NIPS 2006
Approximate inference using planar graph decomposition NIPS 2006
Context Effects in Category Learning: An Investigation of Four Probabilistic Models NIPS 2006
An Application of Reinforcement Learning to Aerobatic Helicopter Flight NIPS 2006
Parameter Expanded Variational Bayesian Methods NIPS 2006
The Neurodynamics of Belief Propagation on Binary Markov Random Fields NIPS 2006
Learning to parse images of articulated bodies NIPS 2006
Efficient Structure Learning of Markov Networks using $L_1$-Regularization NIPS 2006
Mixture Regression for Covariate Shift NIPS 2006
Multi-Robot Negotiation: Approximating the Set of Subgame Perfect Equilibria in General-Sum Stochastic Games NIPS 2006
Optimal Single-Class Classification Strategies NIPS 2006
Analysis of Representations for Domain Adaptation NIPS 2006
Effects of Stress and Genotype on Meta-parameter Dynamics in Reinforcement Learning NIPS 2006
A Theory of Retinal Population Coding NIPS 2006
An Approach to Bounded Rationality NIPS 2006
Analysis of Empirical Bayesian Methods for Neuroelectromagnetic Source Localization NIPS 2006
Learning Motion Style Synthesis from Perceptual Observations NIPS 2006
Linearly-solvable Markov decision problems NIPS 2006
Multi-dynamic Bayesian Networks NIPS 2006
Nonlinear physically-based models for decoding motor-cortical population activity NIPS 2006
No-regret Algorithms for Online Convex Programs NIPS 2006
Distributed Inference in Dynamical Systems NIPS 2006