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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)

Learning from Partial Labels JMLR 2011
Super-Linear Convergence of Dual Augmented Lagrangian Algorithm for Sparsity Regularized Estimation JMLR 2011
Double Updating Online Learning JMLR 2011
Learning High-Dimensional Markov Forest Distributions: Analysis of Error Rates JMLR 2011
Domain Decomposition Approach for Fast Gaussian Process Regression of Large Spatial Data Sets JMLR 2011
Learning Latent Tree Graphical Models JMLR 2011
Hyper-Sparse Optimal Aggregation JMLR 2011
A Refined Margin Analysis for Boosting Algorithms via Equilibrium Margin JMLR 2011
Stochastic Methods for -regularized Loss Minimization JMLR 2011
Internal Regret with Partial Monitoring: Calibration-Based Optimal Algorithms JMLR 2011
Dirichlet Process Mixtures of Generalized Linear Models JMLR 2011
Kernel Regression in the Presence of Correlated Errors JMLR 2011
Generalized TD Learning JMLR 2011
The arules R-Package Ecosystem: Analyzing Interesting Patterns from Large Transaction Data Sets JMLR 2011
A Cure for Variance Inflation in High Dimensional Kernel Principal Component Analysis JMLR 2011
Information Rates of Nonparametric Gaussian Process Methods JMLR 2011
Adaptive Subgradient Methods for Online Learning and Stochastic Optimization JMLR 2011
On the Relation between Realizable and Nonrealizable Cases of the Sequence Prediction Problem JMLR 2011
Discriminative Learning of Bayesian Networks via Factorized Conditional Log-Likelihood JMLR 2011
Multiple Kernel Learning Algorithms JMLR 2011
Smoothness, Disagreement Coefficient, and the Label Complexity of Agnostic Active Learning JMLR 2011
MSVMpack: A Multi-Class Support Vector Machine Package JMLR 2011
Proximal Methods for Hierarchical Sparse Coding JMLR 2011
Producing Power-Law Distributions and Damping Word Frequencies with Two-Stage Language Models JMLR 2011
Universality, Characteristic Kernels and RKHS Embedding of Measures JMLR 2011