Hierarchical temporal memory

Known as: CLA, Cortical Learning Algorithm, HTM 
Hierarchical temporal memory (HTM) is an unsupervised to semi-supervised online machine learning model developed by Jeff Hawkins and Dileep George of… (More)
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Topic mentions per year

Topic mentions per year

1996-2017
010203019962017

Papers overview

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2018
2018
Hierarchical temporal memory (HTM) is a machine learning algorithm inspired by the information processing mechanisms of the human… (More)
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2017
2017
While modern machine learning has made significant strides toward achieving high aptitude in various cognitive tasks, it does not… (More)
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2015
2015
Recent theories have proposed that the unifying principle of brain function is the minimisation of variational free energy and… (More)
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2013
2013
We explore the possibility of using the genetic algorithm to optimize trading models based on the Hierarchical Temporal Memory… (More)
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2012
2012
Please cite this article in press as: Kostavelis, I. doi:10.1016/j.patrec.2011.11.017 In this paper an optimized classification… (More)
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Review
2011
Review
2011
Hierarchical Temporal Memory (HTM) is still largely unknown by the pattern recognition community and only a few studies have been… (More)
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2010
2010
Intrusion Detection Systems (IDS) are a very popular network security tool. These tools can allow network administrators, to… (More)
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2009
2009
There is a problem in combat modeling when it comes to accurately representing asymmetric warfare. The roots of this problem stem… (More)
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2009
2009
A large number of real world applications, such as user support systems, can still not be performed easily by conventional… (More)
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Highly Cited
2006
Highly Cited
2006
HTMs are unlike traditional programmable computers. With traditional computers, a programmer creates specific programs to solve… (More)
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