conftrace_

JMLR 2010

118 papers

A Rotation Test to Verify Latent Structure

Patrick O. Perry, Art B. Owen

On Finding Predictors for Arbitrary Families of Processes

Daniil Ryabko

Approximate Tree Kernels

Konrad Rieck, Tammo Krueger, Ulf Brefeld, Klaus-Robert Müller

Generalized Power Method for Sparse Principal Component Analysis

Michel Journée, Yurii Nesterov, Peter Richtarik, Rodolphe Sepulchre

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, Helena Aidos, Samuel Kaski

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, Quoc V. Le

Optimal Search on Clustered Structural Constraint for Learning Bayesian Network Structure

Kaname Kojima, Eric Perrier, Seiya Imoto, Satoru Miyano

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, Subramani Mani, Xenofon D. Koutsoukos

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, Subramani Mani, Xenofon D. Koutsoukos

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, Gabor Lugosi, György Ottucs&#224

Model Selection: Beyond the Bayesian/Frequentist Divide

Isabelle Guyon, Amir Saffari, Gideon Dror, Gavin Cawley

Online Learning for Matrix Factorization and Sparse Coding

Julien Mairal, Francis Bach, Jean Ponce, Guillermo Sapiro

An Efficient Explanation of Individual Classifications using Game Theory

Erik Strumbelj, Igor Kononenko