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Core Methods

51,083 papers (8 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Representation Learning (22,308) Classification (15,497) Regression (5,281) Clustering (3,809) Embedding Learning (3,795) Metric Learning (2,938) Graph Neural Networks (1,211) Graphical Models (1,093) Feature Learning (891) Kernel Methods (795) Dimensionality Reduction (780) Interpretability (512) Feature Selection (511) Matrix Factorization (408) Ranking (315) Ensemble Methods (300) Support Vector Machine (295) Anomaly Detection (281) Sequence Modeling (244) Structured Prediction (237) Sequence Labeling (157) Topic Modeling (150) Sparse Coding (140) Matrix Completion (131) Neural Networks (114) Retrieval (105) Density Estimation (104) Estimation (83) Inference (56) Decision Tree (50) Feature Extraction (40) Model Selection (39) Prediction (35) Information Extraction (7)

Papers per year

4
51
357
966
4,853
5,823
2000
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'25

Papers (including subtopics)

Learning Ensembles from Bites: A Scalable and Accurate Approach JMLR 2004 Learning the Kernel Matrix with Semidefinite Programming JMLR 2004 Lossless Online Bayesian Bagging JMLR 2004 Model Averaging for Prediction with Discrete Bayesian Networks JMLR 2004 Non-negative Matrix Factorization with Sparseness Constraints JMLR 2004 On Robustness Properties of Convex Risk Minimization Methods for Pattern Recognition JMLR 2004 Probability Estimates for Multi-class Classification by Pairwise Coupling JMLR 2004 Probability Product Kernels JMLR 2004 Randomized Variable Elimination JMLR 2004 Rational Kernels: Theory and Algorithms JMLR 2004 Reinforcement Learning with Factored States and Actions JMLR 2004 Robust Principal Component Analysis with Adaptive Selection for Tuning Parameters JMLR 2004 Second Order Cone Programming Formulations for Feature Selection JMLR 2004 Selective Rademacher Penalization and Reduced Error Pruning of Decision Trees JMLR 2004 Some Properties of Regularized Kernel Methods JMLR 2004 Sources of Success for Boosted Wrapper Induction JMLR 2004 Statistical Analysis of Some Multi-Category Large Margin Classification Methods JMLR 2004 Subgroup Discovery with CN2-SD JMLR 2004 Support Vector Machine Soft Margin Classifiers: Error Analysis JMLR 2004 The Dynamics of AdaBoost: Cyclic Behavior and Convergence of Margins JMLR 2004 The Entire Regularization Path for the Support Vector Machine JMLR 2004 The Minimum Error Minimax Probability Machine JMLR 2004 Weather Data Mining Using Independent Component Analysis JMLR 2004 A Divisive Information-Theoretic Feature Clustering Algorithm for Text Classification JMLR 2003 A Family of Additive Online Algorithms for Category Ranking JMLR 2003