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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)

Nearly Uniform Validation Improves Compression-Based Error Bounds JMLR 2008
Exponentiated Gradient Algorithms for Conditional Random Fields and Max-Margin Markov Networks JMLR 2008
Classification with a Reject Option using a Hinge Loss JMLR 2008
Learning Balls of Strings from Edit Corrections JMLR 2008
LIBLINEAR: A Library for Large Linear Classification JMLR 2008
On Relevant Dimensions in Kernel Feature Spaces JMLR 2008
Manifold Learning: The Price of Normalization JMLR 2008
Mixed Membership Stochastic Blockmodels JMLR 2008
Consistency of Random Forests and Other Averaging Classifiers JMLR 2008
Approximations for Binary Gaussian Process Classification JMLR 2008
Value Function Approximation using Multiple Aggregation for Multiattribute Resource Management JMLR 2008
Gradient Tree Boosting for Training Conditional Random Fields JMLR 2008
A Moment Bound for Multi-hinge Classifiers JMLR 2008
Ranking Individuals by Group Comparisons JMLR 2008
Forecasting Web Page Views: Methods and Observations JMLR 2008
Randomized Online PCA Algorithms with Regret Bounds that are Logarithmic in the Dimension JMLR 2008
Probabilistic Characterization of Random Decision Trees JMLR 2008
Learning to Select Features using their Properties JMLR 2008
Model Selection in Kernel Based Regression using the Influence Function JMLR 2008
Non-Parametric Modeling of Partially Ranked Data JMLR 2008
Minimal Nonlinear Distortion Principle for Nonlinear Independent Component Analysis JMLR 2008
On the Equivalence of Linear Dimensionality-Reducing Transformations JMLR 2008
SimpleMKL JMLR 2008
Stationary Features and Cat Detection JMLR 2008
Visualizing Data using t-SNE JMLR 2008