Papers
4,122 papers found
Learning Translation Invariant Kernels for Classification
Kamaledin Ghiasi-Shirazi, Reza Safabakhsh, Mostafa Shamsi
Linear Algorithms for Online Multitask Classification
Giovanni Cavallanti, Nicoló Cesa-Bianchi, Claudio Gentile
Local Causal and Markov Blanket Induction for Causal Discovery and Feature Selection for Classification Part I: Algorithms and Empirical Evaluation
Constantin F. Aliferis, Alexander Statnikov, Ioannis Tsamardinos et al.
Local Causal and Markov Blanket Induction for Causal Discovery and Feature Selection for Classification Part II: Analysis and Extensions
Constantin F. Aliferis, Alexander Statnikov, Ioannis Tsamardinos et al.
Matched Gene Selection and Committee Classifier for Molecular Classification of Heterogeneous Diseases
Guoqiang Yu, Yuanjian Feng, David J. Miller et al.
Matrix Completion from Noisy Entries
Raghunandan H. Keshavan, Andrea Montanari, Sewoong Oh
Maximum Likelihood in Cost-Sensitive Learning: Model Specification, Approximations, and Upper Bounds
Jacek P. Dmochowski, Paul Sajda, Lucas C. Parra
Maximum Relative Margin and Data-Dependent Regularization
Pannagadatta K. Shivaswamy, Tony Jebara
Mean Field Variational Approximation for Continuous-Time Bayesian Networks
Ido Cohn, Tal El-Hay, Nir Friedman et al.
Message-passing for Graph-structured Linear Programs: Proximal Methods and Rounding Schemes
Pradeep Ravikumar, Alekh Agarwal, Martin J. Wainwright
MOA: Massive Online Analysis
Albert Bifet, Geoff Holmes, Richard Kirkby et al.
Model-based Boosting 2.0
Torsten Hothorn, Peter Bühlmann, Thomas Kneib et al.
Model Selection: Beyond the Bayesian/Frequentist Divide
Isabelle Guyon, Amir Saffari, Gideon Dror et al.
Near-optimal Regret Bounds for Reinforcement Learning
Thomas Jaksch, Ronald Ortner, Peter Auer
-Nested Symmetric Distributions
Fabian Sinz, Matthias Bethge
On Learning with Integral Operators
Lorenzo Rosasco, Mikhail Belkin, Ernesto De Vito
Online Learning for Matrix Factorization and Sparse Coding
Julien Mairal, Francis Bach, Jean Ponce et al.
On-Line Sequential Bin Packing
András György, Gábor Lugosi, György Ottucsà
On Over-fitting in Model Selection and Subsequent Selection Bias in Performance Evaluation
Gavin C. Cawley, Nicola L. C. Talbot
On Spectral Learning
Andreas Argyriou, Charles A. Micchelli, Massimiliano Pontil
On the Foundations of Noise-free Selective Classification
Ran El-Yaniv, Yair Wiener
On the Rate of Convergence of the Bagged Nearest Neighbor Estimate
Gérard Biau, Frédéric Cérou, Arnaud Guyader
Optimal Search on Clustered Structural Constraint for Learning Bayesian Network Structure
Kaname Kojima, Eric Perrier, Seiya Imoto et al.