Helmholtz machine

Known as: Helmholtz machines 
The Helmholtz machine is a type of artificial neural network that can account for the hidden structure of a set of data by being trained to create a… (More)
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Topic mentions per year

1995-2016
012319952016

Papers overview

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2016
2016
Unsupervised training of deep generative models containing latent variables and performing inference remains a challenging… (More)
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2016
2016
Though with progress, model learning and performing posterior inference still remains a common challenge for using deep… (More)
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2015
2015
An increasing amount of behavioral and neurophysiological data suggests that the brain performs optimal (or near-optimal… (More)
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2010
2010
Emotional learning involves two stages. The first is to acquire reinforcers from stimuli and the second is to associate such… (More)
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2003
2003
This paper addresses an algorithm for independent component analysis on the basis of Helmholtz machine, which is an unsupervised… (More)
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2001
2001
We present an approach for text analysis, especially for topic words extraction and document classification, based on a… (More)
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2000
2000
A b s t r a c t . Recently, several evolutionary algorithms have been proposed that build and use an explicit distribution model… (More)
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Review
1999
Review
1999
Many recent analysis-by-synthesis density estimation models of cortical learning and processing have made the crucial simplifying… (More)
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Highly Cited
1996
Highly Cited
1996
The Helmholtz machine is a new unsupervised learning architecture that uses top-down connections to build probability density… (More)
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Highly Cited
1995
Highly Cited
1995
Discovering the structure inherent in a set of patterns is a fundamental aim of statistical inference or learning. One fruitful… (More)
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