Latent variable

Known as: Latent variables, Talent variable 
In statistics, latent variables (from Latin: present participle of lateo (“lie hidden”), as opposed to observable variables), are variables that are… (More)
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Papers overview

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Highly Cited
2014
Highly Cited
2014
This work considers a computationally and statistically efficient parameter estimation method for a wide class of latent variable… (More)
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Highly Cited
2012
Highly Cited
2012
Latent variable techniques are pivotal in tasks ranging from predicting user click patterns and targeting ads to organizing the… (More)
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Highly Cited
2011
Highly Cited
2011
Many practical methods for finding maximally sparse coefficient expansions involve solving a regression problem using a… (More)
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Highly Cited
2010
Highly Cited
2010
Latent variable models are a powerful tool for addressing several tasks in machine learning. However, the algorithms for learning… (More)
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Highly Cited
2010
Highly Cited
2010
We present Posterior Regularization, a probabilistic framework for structured, weakly supervised learning. Our framework… (More)
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Highly Cited
2009
Highly Cited
2009
We present a large-margin formulation and algorithm for structured output prediction that allows the use of latent variables. Our… (More)
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Highly Cited
2008
Highly Cited
2008
This paper presents a family of probabilistic latent variable models that can be used for analysis of nonnegative data. We show… (More)
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Highly Cited
2006
Highly Cited
2006
This study examined the developmental trajectories of three frequently postulated executive function (EF) components, Working… (More)
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Highly Cited
2005
Highly Cited
2005
Measurement is critical to the social scientific enterprise. Many key concepts in socialscientific theories are not observed… (More)
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Highly Cited
2003
Highly Cited
2003
Wynne W. Chin • Barbara L. Marcolin • Peter R. Newsted C. T. Bauer College of Business, University of Houston, Houston, Texas… (More)
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