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Core Methods

48,729 papers (8 classified directly here)

Subtopics

Representation Learning (20,822) Classification (15,805) Regression (5,004) Embedding Learning (3,753) Clustering (3,638) Metric Learning (2,854) Graph Neural Networks (1,141) Graphical Models (985) Feature Learning (860) Dimensionality Reduction (707) Kernel Methods (642) Interpretability (499) Feature Selection (479) Matrix Factorization (383) Ranking (283) Ensemble Methods (267) Anomaly Detection (267) Support Vector Machine (254) Sequence Modeling (237) Structured Prediction (205) Sequence Labeling (166) Topic Modeling (123) Sparse Coding (107) Matrix Completion (103) Retrieval (99) Neural Networks (79) Inference (21) Model Selection (19) Decision Tree (16) Prediction (15) Density Estimation (9) Estimation (8) Feature Extraction (7) Information Extraction (7)

Papers per year

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Papers (including subtopics)

Fusion of Domain Knowledge with Data for Structural Learning in Object Oriented Domains JMLR 2003
ILP: A Short Look Back and a Longer Look Forward JMLR 2003
The Principled Design of Large-Scale Recursive Neural Network Architectures--DAG-RNNs and the Protein Structure Prediction Problem JMLR 2003
Inducing Grammars from Sparse Data Sets: A Survey of Algorithms and Results JMLR 2003
Greedy Algorithms for Classification -- Consistency, Convergence Rates, and Adaptivity JMLR 2003
On the Performance of Kernel Classes JMLR 2003
Tracking Linear-threshold Concepts with Winnow JMLR 2003
Generalization Error Bounds for Bayesian Mixture Algorithms JMLR 2003
On the Rate of Convergence of Regularized Boosting Classifiers JMLR 2003
Concentration Inequalities for the Missing Mass and for Histogram Rule Error JMLR 2003
Learning over Sets using Kernel Principal Angles JMLR 2003
An Efficient Boosting Algorithm for Combining Preferences JMLR 2003
A Unified Framework for Model-based Clustering JMLR 2003
Sparseness of Support Vector Machines JMLR 2003
Least-Squares Policy Iteration JMLR 2003
Beyond Independent Components: Trees and Clusters JMLR 2003
Energy-Based Models for Sparse Overcomplete Representations JMLR 2003
Blind Source Separation via Generalized Eigenvalue Decomposition JMLR 2003
ICA Using Spacings Estimates of Entropy JMLR 2003
MISEP -- Linear and Nonlinear ICA Based on Mutual Information JMLR 2003
Blind Separation of Post-nonlinear Mixtures using Linearizing Transformations and Temporal Decorrelation JMLR 2003
Statistical Dynamics of On-line Independent Component Analysis JMLR 2003
Overlearning in Marginal Distribution-Based ICA: Analysis and Solutions JMLR 2003
ICA for Watermarking Digital Images JMLR 2003
Recommender Systems Using Linear Classifiers JMLR 2002