Papers
A Fast Hybrid Algorithm for Large-Scale -Regularized Logistic Regression
Jianing Shi, Wotao Yin, Stanley Osher et al.
On the Rate of Convergence of the Bagged Nearest Neighbor Estimate
Gérard Biau, Frédéric Cérou, Arnaud Guyader
Second-Order Bilinear Discriminant Analysis
Christoforos Christoforou, Robert Haralick, Paul Sajda et al.
Error-Correcting Output Codes Library
Sergio Escalera, Oriol Pujol, Petia Radeva
Why Does Unsupervised Pre-training Help Deep Learning?
Dumitru Erhan, Yoshua Bengio, Aaron Courville et al.
A Rotation Test to Verify Latent Structure
Patrick O. Perry, Art B. Owen
Approximate Tree Kernels
Konrad Rieck, Tammo Krueger, Ulf Brefeld et al.
Generalized Power Method for Sparse Principal Component Analysis
Michel Journée, Yurii Nesterov, Peter Richtárik et al.
Classification Using Geometric Level Sets
Kush R. Varshney, Alan S. Willsky
Information Retrieval Perspective to Nonlinear Dimensionality Reduction for Data Visualization
Jarkko Venna, Jaakko Peltonen, Kristian Nybo et al.
Dimensionality Estimation, Manifold Learning and Function Approximation using Tensor Voting
Philippos Mordohai, Gérard Medioni
A Convergent Online Single Time Scale Actor Critic Algorithm
Dotan Di Castro, Ron Meir
Bundle Methods for Regularized Risk Minimization
Choon Hui Teo, S.V.N. Vishwanthan, Alex J. Smola et al.
Optimal Search on Clustered Structural Constraint for Learning Bayesian Network Structure
Kaname Kojima, Eric Perrier, Seiya Imoto 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.
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.
An Investigation of Missing Data Methods for Classification Trees Applied to Binary Response Data
Yufeng Ding, Jeffrey S. Simonoff
Classification Methods with Reject Option Based on Convex Risk Minimization
Ming Yuan, Marten Wegkamp
On-Line Sequential Bin Packing
András György, Gábor Lugosi, György Ottucsà
Model Selection: Beyond the Bayesian/Frequentist Divide
Isabelle Guyon, Amir Saffari, Gideon Dror et al.
Online Learning for Matrix Factorization and Sparse Coding
Julien Mairal, Francis Bach, Jean Ponce et al.
An Efficient Explanation of Individual Classifications using Game Theory
Erik Štrumbelj, Igor Kononenko
Dual Decomposition for Parsing with Non-Projective Head Automata
Terry Koo, Alexander M. Rush, Michael Collins et al.
A Latent Variable Model for Geographic Lexical Variation
Jacob Eisenstein, Brendan O’Connor, Noah A. Smith et al.