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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)

Feature Selection for Unsupervised and Supervised Inference: The Emergence of Sparsity in a Weight-Based Approach JMLR 2005
Working Set Selection Using Second Order Information for Training Support Vector Machines JMLR 2005
A Unifying View of Sparse Approximate Gaussian Process Regression JMLR 2005
Change Point Problems in Linear Dynamical Systems JMLR 2005
Asymptotics in Empirical Risk Minimization JMLR 2005
Kernel Methods for Measuring Independence JMLR 2005
Efficient Margin Maximizing with Boosting JMLR 2005
On the Nystrom Method for Approximating a Gram Matrix for Improved Kernel-Based Learning JMLR 2005
Learning the Kernel Matrix with Semidefinite Programming JMLR 2004
In Defense of One-Vs-All Classification JMLR 2004
Lossless Online Bayesian Bagging JMLR 2004
Subgroup Discovery with CN2-SD JMLR 2004
Generalization Error Bounds for Threshold Decision Lists JMLR 2004
Weather Data Mining Using Independent Component Analysis JMLR 2004
A Compression Approach to Support Vector Model Selection JMLR 2004
Learning Ensembles from Bites: A Scalable and Accurate Approach JMLR 2004
Sources of Success for Boosted Wrapper Induction JMLR 2004
A Universal Well-Calibrated Algorithm for On-line Classification JMLR 2004
Distance-Based Classification with Lipschitz Functions JMLR 2004
Hierarchical Latent Class Models for Cluster Analysis JMLR 2004
Bias-Variance Analysis of Support Vector Machines for the Development of SVM-Based Ensemble Methods JMLR 2004
A Fast Algorithm for Joint Diagonalization with Non-orthogonal Transformations and its Application to Blind Source Separation JMLR 2004
Feature Discovery in Non-Metric Pairwise Data JMLR 2004
Probability Product Kernels JMLR 2004
Feature Selection for Unsupervised Learning JMLR 2004