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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)

Coupled Clustering: A Method for Detecting Structural Correspondence JMLR 2002
Some Greedy Learning Algorithms for Sparse Regression and Classification with Mercer Kernels JMLR 2002
Stopping Criterion for Boosting-Based Data Reduction Techniques: from Binary to Multiclass Problem JMLR 2002
Learning to Construct Fast Signal Processing Implementations JMLR 2002
SVMTorch: Support Vector Machines for Large-Scale Regression Problems JMLR 2001
Lagrangian Support Vector Machines JMLR 2001
Regularized Principal Manifolds JMLR 2001
Sparse Bayesian Learning and the Relevance Vector Machine JMLR 2001
Bayes Point Machines JMLR 2001
Tracking the Best Linear Predictor JMLR 2001
On the Size of Convex Hulls of Small Sets JMLR 2001
Graph-Based Hierarchical Conceptual Clustering JMLR 2001
Support Vector Machine Active Learning with Applications to Text Classification JMLR 2001
On the Influence of the Kernel on the Consistency of Support Vector Machines JMLR 2001
Kernel Partial Least Squares Regression in Reproducing Kernel Hilbert Space JMLR 2001
Support Vector Clustering JMLR 2001
One-Class SVMs for Document Classification JMLR 2001
Uniform Object Generation for Optimizing One-class Classifiers JMLR 2001
A Generalized Kernel Approach to Dissimilarity-based Classification JMLR 2001
A New Approximate Maximal Margin Classification Algorithm JMLR 2001
Efficient SVM Training Using Low-Rank Kernel Representations JMLR 2001
On the Algorithmic Implementation of Multiclass Kernel-based Vector Machines JMLR 2001
Exact Simplification of Support Vector Solutions JMLR 2001
Classes of Kernels for Machine Learning: A Statistics Perspective JMLR 2001
Class-Based Probability Estimation Using a Semantic Hierarchy NAACL 2001