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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)

-Norm Multiple Kernel Learning JMLR 2011
Unsupervised Similarity-Based Risk Stratification for Cardiovascular Events Using Long-Term Time-Series Data JMLR 2011
Two Distributed-State Models For Generating High-Dimensional Time Series JMLR 2011
The Indian Buffet Process: An Introduction and Review JMLR 2011
Locally Defined Principal Curves and Surfaces JMLR 2011
A Family of Simple Non-Parametric Kernel Learning Algorithms JMLR 2011
Clustering Algorithms for Chains JMLR 2011
Learning a Robust Relevance Model for Search Using Kernel Methods JMLR 2011
Computationally Efficient Convolved Multiple Output Gaussian Processes JMLR 2011
Learning from Partial Labels JMLR 2011
Double Updating Online Learning JMLR 2011
Domain Decomposition Approach for Fast Gaussian Process Regression of Large Spatial Data Sets JMLR 2011
Learning Latent Tree Graphical Models JMLR 2011
A Refined Margin Analysis for Boosting Algorithms via Equilibrium Margin JMLR 2011
Dirichlet Process Mixtures of Generalized Linear Models JMLR 2011
Kernel Regression in the Presence of Correlated Errors JMLR 2011
The arules R-Package Ecosystem: Analyzing Interesting Patterns from Large Transaction Data Sets JMLR 2011
A Cure for Variance Inflation in High Dimensional Kernel Principal Component Analysis JMLR 2011
Information Rates of Nonparametric Gaussian Process Methods JMLR 2011
Discriminative Learning of Bayesian Networks via Factorized Conditional Log-Likelihood JMLR 2011
Multiple Kernel Learning Algorithms JMLR 2011
MSVMpack: A Multi-Class Support Vector Machine Package JMLR 2011
Proximal Methods for Hierarchical Sparse Coding JMLR 2011
Universality, Characteristic Kernels and RKHS Embedding of Measures JMLR 2011
MULAN: A Java Library for Multi-Label Learning JMLR 2011