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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)

Replacing supervised classification learning by Slow Feature Analysis in spiking neural networks NIPS 2009
Rethinking LDA: Why Priors Matter NIPS 2009
Differential Use of Implicit Negative Evidence in Generative and Discriminative Language Learning NIPS 2009
Non-stationary continuous dynamic Bayesian networks NIPS 2009
Gaussian process regression with Student-t likelihood NIPS 2009
Bilinear classifiers for visual recognition NIPS 2009
Zero-shot Learning with Semantic Output Codes NIPS 2009
Nonparametric Bayesian Models for Unsupervised Event Coreference Resolution NIPS 2009
A Stochastic approximation method for inference in probabilistic graphical models NIPS 2009
Sparse Estimation Using General Likelihoods and Non-Factorial Priors NIPS 2009
Modeling the spacing effect in sequential category learning NIPS 2009
An Infinite Factor Model Hierarchy Via a Noisy-Or Mechanism NIPS 2009
Large Scale Nonparametric Bayesian Inference: Data Parallelisation in the Indian Buffet Process NIPS 2009
Filtering Abstract Senses From Image Search Results NIPS 2009
Which graphical models are difficult to learn? NIPS 2009
Distribution Matching for Transduction NIPS 2009
Bayesian Belief Polarization NIPS 2009
Linearly constrained Bayesian matrix factorization for blind source separation NIPS 2009
Sparse and Locally Constant Gaussian Graphical Models NIPS 2009
Bootstrapping from Game Tree Search NIPS 2009
Individuation, Identification and Object Discovery NIPS 2009
Decoupling Sparsity and Smoothness in the Discrete Hierarchical Dirichlet Process NIPS 2009
Compositionality of optimal control laws NIPS 2009
Nonparametric Latent Feature Models for Link Prediction NIPS 2009
Sharing Features among Dynamical Systems with Beta Processes NIPS 2009