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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… Expand
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Papers overview

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2018
2018
Hierarchical temporal memory (HTM) is a neuromorphic algorithm that emulates sparsity, hierarchy and modularity resembling the… Expand
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2018
2018
Hierarchical temporal memory (HTM) is a machine learning algorithm inspired by the information processing mechanisms of the human… Expand
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2017
2017
Hierarchical temporal memory (HTM) is an emerging machine learning algorithm, with the potential to provide a means to perform… Expand
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2016
2016
Time-series-based anomaly detection is a quite important field that has been researched over years. Many techniques have been… Expand
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Highly Cited
2015
Highly Cited
2015
Empirical evidence demonstrates that every region of the neocortex represents information using sparse activity patterns. This… Expand
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2009
2009
The task of spoken language identification has enjoyed many promising approaches via machine learning and signal processing since… Expand
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Highly Cited
2008
Highly Cited
2008
The brains of mammals are very efficient learning machines. Many aspects of mammalian learning are yet to be incorporated into… Expand
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Highly Cited
2008
Highly Cited
2008
This paper studies evolutionary clustering, which is a recently hot topic with many important applications, noticeably in social… Expand
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2008
2008
Previously topic models such as PLSI (Probabilistic Latent Semantic Indexing) and LDA (Latent Dirichlet Allocation) were… Expand
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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… Expand
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