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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)

Graph Zeta Function in the Bethe Free Energy and Loopy Belief Propagation NIPS 2009
Learning in Markov Random Fields using Tempered Transitions NIPS 2009
Statistical Consistency of Top-k Ranking NIPS 2009
Speaker Comparison with Inner Product Discriminant Functions NIPS 2009
Asymptotic Analysis of MAP Estimation via the Replica Method and Compressed Sensing NIPS 2009
Statistical Models of Linear and Nonlinear Contextual Interactions in Early Visual Processing NIPS 2009
A joint maximum-entropy model for binary neural population patterns and continuous signals NIPS 2009
Hierarchical Modeling of Local Image Features through $L_p$-Nested Symmetric Distributions NIPS 2009
Optimizing Multi-Class Spatio-Spectral Filters via Bayes Error Estimation for EEG Classification NIPS 2009
Nash Equilibria of Static Prediction Games NIPS 2009
Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Matrices via Convex Optimization NIPS 2009
Unsupervised Feature Selection for the $k$-means Clustering Problem NIPS 2009
Multi-Step Dyna Planning for Policy Evaluation and Control NIPS 2009
Variational Inference for the Nested Chinese Restaurant Process NIPS 2009
Learning from Neighboring Strokes: Combining Appearance and Context for Multi-Domain Sketch Recognition NIPS 2009
Approximating MAP by Compensating for Structural Relaxations NIPS 2009
Non-Parametric Bayesian Dictionary Learning for Sparse Image Representations NIPS 2009
Discrete MDL Predicts in Total Variation NIPS 2009
Efficient and Accurate Lp-Norm Multiple Kernel Learning NIPS 2009
Occlusive Components Analysis NIPS 2009
Distribution-Calibrated Hierarchical Classification NIPS 2009
A Smoothed Approximate Linear Program NIPS 2009
Explaining human multiple object tracking as resource-constrained approximate inference in a dynamic probabilistic model NIPS 2009
Graph-based Consensus Maximization among Multiple Supervised and Unsupervised Models NIPS 2009
Efficient Large-Scale Distributed Training of Conditional Maximum Entropy Models NIPS 2009