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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)

Modelling transcriptional regulation using Gaussian Processes NIPS 2006
TrueSkill™: A Bayesian Skill Rating System NIPS 2006
Boosting Structured Prediction for Imitation Learning NIPS 2006
Relational Learning with Gaussian Processes NIPS 2006
Generalized Bradley-Terry Models and Multi-Class Probability Estimates JMLR 2006
Bounds for Linear Multi-Task Learning JMLR 2006
Learning the Structure of Linear Latent Variable Models JMLR 2006
Learning Recursive Control Programs from Problem Solving JMLR 2006
Segmental Hidden Markov Models with Random Effects for Waveform Modeling JMLR 2006
Linear Programs for Hypotheses Selection in Probabilistic Inference Models JMLR 2006
Bayesian Network Learning with Parameter Constraints JMLR 2006
Learning Factor Graphs in Polynomial Time and Sample Complexity JMLR 2006
Estimating the “Wrong” Graphical Model: Benefits in the Computation-Limited Setting JMLR 2006
Linear Programming Relaxations and Belief Propagation -- An Empirical Study JMLR 2006
A Linear Non-Gaussian Acyclic Model for Causal Discovery JMLR 2006
Walk-Sums and Belief Propagation in Gaussian Graphical Models JMLR 2006
A Scoring Function for Learning Bayesian Networks based on Mutual Information and Conditional Independence Tests JMLR 2006
Noisy-OR Component Analysis and its Application to Link Analysis JMLR 2006
Causal Graph Based Decomposition of Factored MDPs JMLR 2006
Point-Based Value Iteration for Continuous POMDPs JMLR 2006
Spam Filtering Using Statistical Data Compression Models JMLR 2006
Spam Filtering Based On The Analysis Of Text Information Embedded Into Images JMLR 2006
Learning to Detect and Classify Malicious Executables in the Wild JMLR 2006
Haptic Playback: Modeling, Controller Design, and Stability Analysis RSS 2006
Optimal Rules for Programmed Stochastic Self-Assembly RSS 2006