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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)

Posterior Sparsity in Unsupervised Dependency Parsing JMLR 2011
Learning Multi-modal Similarity JMLR 2011
Minimum Description Length Penalization for Group and Multi-Task Sparse Learning JMLR 2011
Variable Sparsity Kernel Learning JMLR 2011
Regression on Fixed-Rank Positive Semidefinite Matrices: A Riemannian Approach JMLR 2011
Parameter Screening and Optimisation for ILP using Designed Experiments JMLR 2011
Efficient Structure Learning of Bayesian Networks using Constraints JMLR 2011
Information, Divergence and Risk for Binary Experiments JMLR 2011
Learning Transformation Models for Ranking and Survival Analysis JMLR 2011
Sparse Linear Identifiable Multivariate Modeling JMLR 2011
Forest Density Estimation JMLR 2011
-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
Differentially Private Empirical Risk Minimization JMLR 2011
Anechoic Blind Source Separation Using Wigner Marginals JMLR 2011
The Indian Buffet Process: An Introduction and Review JMLR 2011
DirectLiNGAM: A Direct Method for Learning a Linear Non-Gaussian Structural Equation Model JMLR 2011
Locally Defined Principal Curves and Surfaces JMLR 2011
Better Algorithms for Benign Bandits JMLR 2011
A Family of Simple Non-Parametric Kernel Learning Algorithms JMLR 2011
Faster Algorithms for Max-Product Message-Passing 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