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    ICML
    2009
    IEEE
    158views Machine Learning» more  ICML 2009»
    Gradient descent with sparsification: an iterative algorithm for sparse recovery with restricted isometry property
    14 years 5 months ago
    Gradient descent with sparsification: an iterative algorithm for sparse recovery with restricted isometry property
    Download  www.cs.mcgill.ca
    We present an algorithm for finding an ssparse vector x that minimizes the squareerror y - x 2 where satisfies the restricted isometry property (RIP), with isometric constant 2s ...
    Rahul Garg, Rohit Khandekar
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    ICML
    2009
    IEEE
    227views Machine Learning» more  ICML 2009»
    Online dictionary learning for sparse coding
    14 years 5 months ago
    Online dictionary learning for sparse coding
    Download  www.di.ens.fr
    Sparse coding--that is, modelling data vectors as sparse linear combinations of basis elements--is widely used in machine learning, neuroscience, signal processing, and statistics...
    Julien Mairal, Francis Bach, Jean Ponce, Guillermo...
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    ICML
    2009
    IEEE
    154views Machine Learning» more  ICML 2009»
    Stochastic search using the natural gradient
    14 years 5 months ago
    Stochastic search using the natural gradient
    Download  www.idsia.ch
    Daan Wierstra, Jürgen Schmidhuber, Tom Schaul...
    posted by schaul
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    ICML
    2009
    IEEE
    160views Machine Learning» more  ICML 2009»
    A convex formulation for learning shared structures from multiple tasks
    14 years 5 months ago
    A convex formulation for learning shared structures from multiple tasks
    Download  www.public.asu.edu
    Multi-task learning (MTL) aims to improve generalization performance by learning multiple related tasks simultaneously. In this paper, we consider the problem of learning shared s...
    Jianhui Chen, Lei Tang, Jun Liu, Jieping Ye
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    ICML
    2009
    IEEE
    174views Machine Learning» more  ICML 2009»
    Multi-view clustering via canonical correlation analysis
    14 years 5 months ago
    Multi-view clustering via canonical correlation analysis
    Download  talk.ucsd.edu
    Clustering data in high dimensions is believed to be a hard problem in general. A number of efficient clustering algorithms developed in recent years address this problem by proje...
    Kamalika Chaudhuri, Sham M. Kakade, Karen Livescu,...
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    ICML
    2009
    IEEE
    143views Machine Learning» more  ICML 2009»
    GAODE and HAODE: two proposals based on AODE to deal with continuous variables
    14 years 5 months ago
    GAODE and HAODE: two proposals based on AODE to deal with continuous variables
    Download  www.machinelearning.org
    AODE (Aggregating One-Dependence Estimators) is considered one of the most interesting representatives of the Bayesian classifiers, taking into account not only the low error rate...
    Ana M. Martínez, José A. Gáme...
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    ICML
    2009
    IEEE
    159views Machine Learning» more  ICML 2009»
    Efficient learning algorithms for changing environments
    14 years 5 months ago
    Efficient learning algorithms for changing environments
    Download  www.cs.princeton.edu
    We study online learning in an oblivious changing environment. The standard measure of regret bounds the difference between the cost of the online learner and the best decision in...
    Elad Hazan, C. Seshadhri
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    ICML
    2009
    IEEE
    152views Machine Learning» more  ICML 2009»
    Partial order embedding with multiple kernels
    14 years 5 months ago
    Partial order embedding with multiple kernels
    Download  cseweb.ucsd.edu
    We consider the problem of embedding arbitrary objects (e.g., images, audio, documents) into Euclidean space subject to a partial order over pairwise distances. Partial order cons...
    Brian McFee, Gert R. G. Lanckriet
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    ICML
    2009
    IEEE
    190views Machine Learning» more  ICML 2009»
    A least squares formulation for a class of generalized eigenvalue problems in machine learning
    14 years 5 months ago
    A least squares formulation for a class of generalized eigenvalue problems in machine learning
    Download  www.public.asu.edu
    Many machine learning algorithms can be formulated as a generalized eigenvalue problem. One major limitation of such formulation is that the generalized eigenvalue problem is comp...
    Liang Sun, Shuiwang Ji, Jieping Ye
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    ICML
    2009
    IEEE
    160views Machine Learning» more  ICML 2009»
    The adaptive k-meteorologists problem and its application to structure learning and feature selection in reinforcement learning
    14 years 5 months ago
    The adaptive k-meteorologists problem and its application to structure learning and feature selection in reinforcement learning
    Download  www.research.rutgers.edu
    The purpose of this paper is three-fold. First, we formalize and study a problem of learning probabilistic concepts in the recently proposed KWIK framework. We give details of an ...
    Carlos Diuk, Lihong Li, Bethany R. Leffler
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