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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)

Considering Cost Asymmetry in Learning Classifiers JMLR 2006
Learning Factor Graphs in Polynomial Time and Sample Complexity JMLR 2006
Estimating the “Wrong” Graphical Model: Benefits in the Computation-Limited Setting JMLR 2006
Streamwise Feature Selection JMLR 2006
Linear Programming Relaxations and Belief Propagation -- An Empirical Study JMLR 2006
Incremental Support Vector Learning: Analysis, Implementation and Applications JMLR 2006
Learning Spectral Clustering, With Application To Speech Separation JMLR 2006
Walk-Sums and Belief Propagation in Gaussian Graphical Models JMLR 2006
A Hierarchy of Support Vector Machines for Pattern Detection JMLR 2006
Adaptive Prototype Learning Algorithms: Theoretical and Experimental Studies JMLR 2006
A Scoring Function for Learning Bayesian Networks based on Mutual Information and Conditional Independence Tests JMLR 2006
Accurate Error Bounds for the Eigenvalues of the Kernel Matrix JMLR 2006
Learning Parts-Based Representations of Data JMLR 2006
Consistency of Multiclass Empirical Risk Minimization Methods Based on Convex Loss JMLR 2006
Bounds for the Loss in Probability of Correct Classification Under Model Based Approximation JMLR 2006
Estimation of Gradients and Coordinate Covariation in Classification JMLR 2006
On Model Selection Consistency of Lasso JMLR 2006
Linear State-Space Models for Blind Source Separation JMLR 2006
On Representing and Generating Kernels by Fuzzy Equivalence Relations JMLR 2006
A Robust Procedure For Gaussian Graphical Model Search From Microarray Data With p Larger Than n JMLR 2006
Universal Kernels JMLR 2006
Spam Filtering Using Statistical Data Compression Models JMLR 2006
Spam Filtering Based On The Analysis Of Text Information Embedded Into Images JMLR 2006
Learning to Detect and Classify Malicious Executables in the Wild JMLR 2006
On Inferring Application Protocol Behaviors in Encrypted Network Traffic JMLR 2006