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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)

An ideal observer model for identifying the reference frame of objects NIPS 2011
Greedy Algorithms for Structurally Constrained High Dimensional Problems NIPS 2011
Improving Policy Gradient Estimates with Influence Information ACML 2011
Nonlinear Online Classification Algorithm with Probability Margin ACML 2011
Learning to Locate Relative Outliers ACML 2011
Microbagging Estimators: An Ensemble Approach to Distance-weighted Classifiers ACML 2011
Bayesian Inference for Statistical Abduction Using Markov Chain Monte Carlo ACML 2011
Support Vector Machines Under Adversarial Label Noise ACML 2011
A General Linear Non-Gaussian State-Space Model: Identifiability, Identification, and Applications ACML 2011
Unsupervised Multiple Kernel Learning ACML 2011
Quadratic Weighted Automata:Spectral Algorithm and Likelihood Maximization ACML 2011
Approximate Model Selection for Large Scale LSSVM ACML 2011
Learning low-rank output kernels ACML 2011
Learning Rules from Incomplete Examples via Implicit Mention Models ACML 2011
Mixed-Variate Restricted Boltzmann Machines ACML 2011
Computationally Efficient Sufficient Dimension Reduction via Squared-Loss Mutual Information ACML 2011
Learning Attribute-weighted Voter Model over Social Networks ACML 2011
Multi-label Classification with Error-correcting Codes ACML 2011
Estimating Diffusion Probability Changes for AsIC-SIS Model from Information Diffusion Results ACML 2011
Multi-label Active Learning with Auxiliary Learner ACML 2011
Acceleration Technique for Boosting Classification and its Application to Face Detection ACML 2011
Summarization of Yes/No Questions Using a Feature Function Model ACML 2011
Mapping Kernels Defined Over Countably Infinite Mapping Systems and their Application ACML 2011
Learning equivalence classes of acyclic models with latent and selection variables from multiple datasets with overlapping variables AISTATS 2011
Discussion of “Learning Equivalence Classes of Acyclic Models with Latent and Selection Variables from Multiple Datasets with Overlapping Variables” AISTATS 2011