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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…
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Artificial intelligence
Bayesian network
Behavioral modeling
Bioinformatics
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2011
2011
Discriminative tag learning on YouTube videos with latent sub-tags
Weilong Yang
,
G. Toderici
Computer Vision and Pattern Recognition
2011
Corpus ID: 8094757
We consider the problem of content-based automated tag learning. In particular, we address semantic variations (sub-tags) of the…
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2010
2010
A general procedure for learning mixtures of independent component analyzers
A. Salazar
,
L. Vergara
,
Arturo Serrano
,
J. Igual
Pattern Recognition
2010
Corpus ID: 17123770
2009
2009
Statistically integrated semiotics that enables mutual inference between linguistic and behavioral symbols for humanoid robots
W. Takano
,
Yoshihiko Nakamura
IEEE International Conference on Robotics and…
2009
Corpus ID: 14580306
This paper describes the linguistic model based on symbolization of motion patterns for humanoid robots. The model consists of…
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Review
2009
Review
2009
Batch Process Modeling and MSPC
S. Wold
,
N. Kettaneh-Wold
,
J. Macgregor
,
K. Dunn
2009
Corpus ID: 60223839
2009
2009
Latent Variable Models of Concept-Attribute Attachment
J. Reisinger
,
Marius Pasca
Annual Meeting of the Association for…
2009
Corpus ID: 15562311
This paper presents a set of Bayesian methods for automatically extending the WordNet ontology with new concepts and annotating…
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2008
2008
Parsing German with Latent Variable Grammars
Slav Petrov
,
D. Klein
2008
Corpus ID: 1265586
We describe experiments on learning latent variable grammars for various German tree-banks, using a language-agnostic statistical…
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2007
2007
IIE Transactions
Il-Gyo Chong
,
S. Albin
,
C. Jun
2007
Corpus ID: 2287003
The publisher does not give any warranty express or implied or make any representation that the contents will be complete or…
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Highly Cited
2001
Highly Cited
2001
Learning with labeled and unlabeled dataMatthias
M. Seeger
2001
Corpus ID: 17263459
1995
1995
Partial Least Squares Modeling in Research on Educational Achievement
N. Sellin
,
Otto Versand
,
Hamburg
1995
Corpus ID: 17886870
This paper contains a discussion of partial least squares (PLS) path modeling with latent constructs as a general method for…
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1995
1995
Pattern recognition, reflections from a chemometric point of view
P. Lewi
1995
Corpus ID: 121580188
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