Causal filter

Known as: Anti-causal filter, Anticausal filter 
In signal processing, a causal filter is a linear and time-invariant causal system. The word causal indicates that the filter output depends only on… (More)
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Papers overview

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Review
2017
Review
2017
Deep reinforcement learning is poised to revolutionise the field of AI and represents a step towards building autonomous systems… (More)
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Review
2016
Review
2016
BACKGROUND Although telehealth offers an improved approach to providing healthcare services, its adoption by end users remains… (More)
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Highly Cited
2014
Highly Cited
2014
MOTIVATION Prior biological knowledge greatly facilitates the meaningful interpretation of gene-expression data. Causal networks… (More)
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Highly Cited
2011
Highly Cited
2011
MatchIt implements the suggestions of Ho, Imai, King, and Stuart (2007) for improving parametric statistical models by… (More)
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2010
2010
The importance of bringing causality into play when designing feature selection methods is more and more acknowledged in the… (More)
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Highly Cited
2007
Highly Cited
2007
Your use of the JSTOR archive indicates your acceptance of JSTOR's Terms and Conditions of Use, available at http://www.jstor.org… (More)
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Highly Cited
2007
Highly Cited
2007
Albert J. Weatherhead III University Professor, Harvard University, 2009 to the present. David Florence Professor of Government… (More)
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Highly Cited
2004
Highly Cited
2004
MOTIVATION Network inference algorithms are powerful computational tools for identifying putative causal interactions among… (More)
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Highly Cited
2002
Highly Cited
2002
Readers of medical literature need to consider two types of validity, internal and external. Internal validity means that the… (More)
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Highly Cited
2001
Highly Cited
2001
 We consider the question of evaluating causal relations among neurobiological signals. In particular, we study the relation… (More)
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