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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

4
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Papers (including subtopics)

Segmental Hidden Markov Models with Random Effects for Waveform Modeling JMLR 2006
Lower Bounds and Aggregation in Density Estimation JMLR 2006
Quantile Regression Forests JMLR 2006
Sparse Boosting JMLR 2006
One-Class Novelty Detection for Seizure Analysis from Intracranial EEG JMLR 2006
A Graphical Representation of Equivalence Classes of AMP Chain Graphs JMLR 2006
Step Size Adaptation in Reproducing Kernel Hilbert Space JMLR 2006
New Algorithms for Efficient High-Dimensional Nonparametric Classification JMLR 2006
A Very Fast Learning Method for Neural Networks Based on Sensitivity Analysis JMLR 2006
Worst-Case Analysis of Selective Sampling for Linear Classification JMLR 2006
Nonparametric Quantile Estimation JMLR 2006
Second Order Cone Programming Approaches for Handling Missing and Uncertain Data JMLR 2006
Ensemble Pruning Via Semi-definite Programming JMLR 2006
Learning Sparse Representations by Non-Negative Matrix Factorization and Sequential Cone Programming JMLR 2006
Fast SDP Relaxations of Graph Cut Clustering, Transduction, and Other Combinatorial Problems JMLR 2006
Maximum-Gain Working Set Selection for SVMs JMLR 2006
Parallel Software for Training Large Scale Support Vector Machines on Multiprocessor Systems JMLR 2006
Building Support Vector Machines with Reduced Classifier Complexity JMLR 2006
Exact 1-Norm Support Vector Machines Via Unconstrained Convex Differentiable Minimization JMLR 2006
Large Scale Multiple Kernel Learning JMLR 2006
Efficient Learning of Label Ranking by Soft Projections onto Polyhedra JMLR 2006
Kernel-Based Learning of Hierarchical Multilabel Classification Models JMLR 2006
Structured Prediction, Dual Extragradient and Bregman Projections JMLR 2006
Active Learning with Feedback on Features and Instances JMLR 2006
Large Scale Transductive SVMs JMLR 2006