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Fisher information / Multivariate normal distribution / Maximum likelihood / Expectation–maximization algorithm / Statistics / Estimation theory / Feature selection


High-dimensional Sparse Inverse Covariance Estimation using Greedy Methods Christopher C. Johnson CS, UT Austin [removed]
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Document Date: 2012-04-26 08:56:37


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Company

Neural Information Processing Systems / Cambridge University Press / /

Country

United Kingdom / /

Currency

pence / /

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Holiday

Assumption / /

IndustryTerm

local greedy algorithms / forward-backward algorithm / greedy forward-backward algorithm / forward-backward greedy algorithm / greedy algorithms / greedy algorithm / sparse gaussian markov networks / local and global greedy algorithms / signal processing / closed-form solution / forward greedy algorithm / model selection algorithm / descent algorithms / /

OperatingSystem

Xp / /

Organization

Cambridge University / /

Person

Backward Greedy / Forward Step / Ali Jalali / Christopher C. Johnson / /

Position

parameter Θrt / Fisher information matrix / rt / Θrt / forward / Γ∗rt / marginal Fisher / /

PublishedMedium

Machine Learning / Journal of Machine Learning Research / Lecture Notes in Computer Science / Journal of Statistical Software / /

Technology

artificial intelligence / greedy forward-backward algorithm / greedy algorithm / forward greedy algorithm / model selection algorithm / Gaussian MLE In Algorithm / local greedy algorithms / machine learning / 2.2 Algorithm / greedy algorithms / forward-backward greedy algorithm / Neighborhood Greedy algorithm / descent algorithms / 2 Greedy forward-backward algorithm / two algorithms / Adaptive forward-backward greedy algorithm / /

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