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Machine Learning

121,146 papers (10 classified directly here)

Subtopics

Learning Types (52,936) Core Methods (48,729) Optimization & Theory (36,874) Application Areas (31,658) Bayesian & Probabilistic (3,963) Learning Paradigms (2,054)

Papers per year

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Papers (including subtopics)

Deep Learning of Invariant Features via Simulated Fixations in Video NIPS 2012
Homeostatic plasticity in Bayesian spiking networks as Expectation Maximization with posterior constraints NIPS 2012
Nonparametric Bayesian Inverse Reinforcement Learning for Multiple Reward Functions NIPS 2012
Human memory search as a random walk in a semantic network NIPS 2012
Multi-criteria Anomaly Detection using Pareto Depth Analysis NIPS 2012
A Spectral Algorithm for Latent Dirichlet Allocation NIPS 2012
The Perturbed Variation NIPS 2012
Discriminatively Trained Sparse Code Gradients for Contour Detection NIPS 2012
A Bayesian Approach for Policy Learning from Trajectory Preference Queries NIPS 2012
Kernel Hyperalignment NIPS 2012
Multi-Task Averaging NIPS 2012
A Unifying Perspective of Parametric Policy Search Methods for Markov Decision Processes NIPS 2012
Convergence and Energy Landscape for Cheeger Cut Clustering NIPS 2012
A Divide-and-Conquer Method for Sparse Inverse Covariance Estimation NIPS 2012
Nonconvex Penalization Using Laplace Exponents and Concave Conjugates NIPS 2012
How They Vote: Issue-Adjusted Models of Legislative Behavior NIPS 2012
Multiclass Learning Approaches: A Theoretical Comparison with Implications NIPS 2012
Dynamical And-Or Graph Learning for Object Shape Modeling and Detection NIPS 2012
Augmented-SVM: Automatic space partitioning for combining multiple non-linear dynamics NIPS 2012
Coupling Nonparametric Mixtures via Latent Dirichlet Processes NIPS 2012
Multiclass Learning with Simplex Coding NIPS 2012
Clustering Sparse Graphs NIPS 2012
On-line Reinforcement Learning Using Incremental Kernel-Based Stochastic Factorization NIPS 2012
Accelerated Training for Matrix-norm Regularization: A Boosting Approach NIPS 2012
Supervised Learning with Similarity Functions NIPS 2012