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JMLR
2010
158views more  JMLR 2010»
12 years 11 months ago
Restricted Eigenvalue Properties for Correlated Gaussian Designs
Methods based on 1-relaxation, such as basis pursuit and the Lasso, are very popular for sparse regression in high dimensions. The conditions for success of these methods are now ...
Garvesh Raskutti, Martin J. Wainwright, Bin Yu
JMLR
2010
108views more  JMLR 2010»
12 years 11 months ago
WEKA - Experiences with a Java Open-Source Project
WEKA is a popular machine learning workbench with a development life of nearly two decades. This article provides an overview of the factors that we believe to be important to its...
Remco R. Bouckaert, Eibe Frank, Mark A. Hall, Geof...
JMLR
2010
162views more  JMLR 2010»
12 years 11 months ago
A Surrogate Modeling and Adaptive Sampling Toolbox for Computer Based Design
An exceedingly large number of scientific and engineering fields are confronted with the need for computer simulations to study complex, real world phenomena or solve challenging ...
Dirk Gorissen, Ivo Couckuyt, Piet Demeester, Tom D...
JMLR
2010
134views more  JMLR 2010»
12 years 11 months ago
Using Contextual Representations to Efficiently Learn Context-Free Languages
We present a polynomial update time algorithm for the inductive inference of a large class of context-free languages using the paradigm of positive data and a membership oracle. W...
Alexander Clark, Rémi Eyraud, Amaury Habrar...
JMLR
2010
53views more  JMLR 2010»
12 years 11 months ago
Semi-Supervised Novelty Detection
Gilles Blanchard, Gyemin Lee, Clayton Scott
JMLR
2010
112views more  JMLR 2010»
12 years 11 months ago
Sparse Spectrum Gaussian Process Regression
We present a new sparse Gaussian Process (GP) model for regression. The key novel idea is to sparsify the spectral representation of the GP. This leads to a simple, practical algo...
Miguel Lázaro-Gredilla, Joaquin Quiñ...
JMLR
2010
109views more  JMLR 2010»
12 years 11 months ago
Matrix Completion from Noisy Entries
Given a matrix M of low-rank, we consider the problem of reconstructing it from noisy observations of a small, random subset of its entries. The problem arises in a variety of app...
Raghunandan H. Keshavan, Andrea Montanari, Sewoong...
JMLR
2010
102views more  JMLR 2010»
12 years 11 months ago
Efficient Algorithms for Conditional Independence Inference
The topic of the paper is computer testing of (probabilistic) conditional independence (CI) implications by an algebraic method of structural imsets. The basic idea is to transfor...
Remco R. Bouckaert, Raymond Hemmecke, Silvia Lindn...
JMLR
2010
93views more  JMLR 2010»
12 years 11 months ago
Erratum: SGDQN is Less Careful than Expected
The SGD-QN algorithm described in (Bordes et al., 2009) contains a subtle flaw that prevents it from reaching its design goals. Yet the flawed SGD-QN algorithm has worked well eno...
Antoine Bordes, Léon Bottou, Patrick Gallin...
JMLR
2010
179views more  JMLR 2010»
12 years 11 months ago
PAC-Bayesian Analysis of Co-clustering and Beyond
We derive PAC-Bayesian generalization bounds for supervised and unsupervised learning models based on clustering, such as co-clustering, matrix tri-factorization, graphical models...
Yevgeny Seldin, Naftali Tishby