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Machine Learning

121,146 papers (10 classified directly here)

Subtopics

Learning Types (52,936) Core Methods (48,729) Optimization & Theory (36,874) Application Areas (31,658) Bayesian & Probabilistic (3,963) Learning Paradigms (2,054)

Papers per year

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Papers (including subtopics)

Improving Markov Network Structure Learning Using Decision Trees JMLR 2014
Ground Metric Learning JMLR 2014
Link Prediction in Graphs with Autoregressive Features JMLR 2014
Adaptivity of Averaged Stochastic Gradient Descent to Local Strong Convexity for Logistic Regression JMLR 2014
Random Intersection Trees JMLR 2014
Clustering Hidden Markov Models with Variational HEM JMLR 2014
A Novel M-Estimator for Robust PCA JMLR 2014
Policy Evaluation with Temporal Differences: A Survey and Comparison JMLR 2014
Active Learning Using Smooth Relative Regret Approximations with Applications JMLR 2014
An Extension of Slow Feature Analysis for Nonlinear Blind Source Separation JMLR 2014
Natural Evolution Strategies JMLR 2014
Conditional Random Field with High-order Dependencies for Sequence Labeling and Segmentation JMLR 2014
Ellipsoidal Rounding for Nonnegative Matrix Factorization Under Noisy Separability JMLR 2014
Improving Prediction from Dirichlet Process Mixtures via Enrichment JMLR 2014
Gibbs Max-margin Topic Models with Data Augmentation JMLR 2014
A Reliable Effective Terascale Linear Learning System JMLR 2014
New Learning Methods for Supervised and Unsupervised Preference Aggregation JMLR 2014
Prediction and Clustering in Signed Networks: A Local to Global Perspective JMLR 2014
Bayesian Nonparametric Comorbidity Analysis of Psychiatric Disorders JMLR 2014
Robust Near-Separable Nonnegative Matrix Factorization Using Linear Optimization JMLR 2014
Follow the Leader If You Can, Hedge If You Must JMLR 2014
Structured Prediction via Output Space Search JMLR 2014
Fully Simplified Multivariate Normal Updates in Non-Conjugate Variational Message Passing JMLR 2014
Towards Ultrahigh Dimensional Feature Selection for Big Data JMLR 2014
Adaptive Sampling for Large Scale Boosting JMLR 2014