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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)

A Quasi-Newton Approach to Nonsmooth Convex Optimization Problems in Machine Learning JMLR 2010
Graph Kernels JMLR 2010
Learning From Crowds JMLR 2010
Unsupervised Supervised Learning I: Estimating Classification and Regression Errors without Labels JMLR 2010
Learning Translation Invariant Kernels for Classification JMLR 2010
Characterization, Stability and Convergence of Hierarchical Clustering Methods JMLR 2010
Training and Testing Low-degree Polynomial Data Mappings via Linear SVM JMLR 2010
Quadratic Programming Feature Selection JMLR 2010
Hilbert Space Embeddings and Metrics on Probability Measures JMLR 2010
On the Foundations of Noise-free Selective Classification JMLR 2010
Consensus-Based Distributed Support Vector Machines JMLR 2010
Estimation of a Structural Vector Autoregression Model Using Non-Gaussianity JMLR 2010
FastInf: An Efficient Approximate Inference Library JMLR 2010
Bayesian Learning in Sparse Graphical Factor Models via Variational Mean-Field Annealing JMLR 2010
The SHOGUN Machine Learning Toolbox JMLR 2010
How to Explain Individual Classification Decisions JMLR 2010
Permutation Tests for Studying Classifier Performance JMLR 2010
Sparse Spectrum Gaussian Process Regression JMLR 2010
Fast and Scalable Local Kernel Machines JMLR 2010
Practical Approaches to Principal Component Analysis in the Presence of Missing Values JMLR 2010
A Surrogate Modeling and Adaptive Sampling Toolbox for Computer Based Design JMLR 2010
Model-based Boosting 2.0 JMLR 2010
Matched Gene Selection and Committee Classifier for Molecular Classification of Heterogeneous Diseases JMLR 2010
Learning Gradients: Predictive Models that Infer Geometry and Statistical Dependence JMLR 2010
Regularized Discriminant Analysis, Ridge Regression and Beyond JMLR 2010