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  Browse All Reviews > Computer Systems Organization (C) > Processor Architectures (C.1) > Other Architecture Styles (C.1.3) > Neural Nets (C.1.3...)  
 
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  1-10 of 68 Reviews about "Neural Nets (C.1.3...)": Date Reviewed
  Towards Bayesian deep learning: a framework and some existing methods
Wang H., Yeung D.  IEEE Transactions on Knowledge and Data Engineering 28(12): 3395-3408, 2016. Type: Article

Machine learning is successfully used in many computer applications today. This has spawned an abundance of research and publications on the topic. The main problem as I see it is the confusion machine learning terminology creates when contrasted ...

Feb 1 2017
  Modelling and verification of weighted spiking neural systems
Aman B., Ciobanu G.  Theoretical Computer Science 623(C): 92-102, 2016. Type: Article

This paper considers the problem of formal verification of systems described using an abstract computing model called a spiking neural system, which is modeled after how brain cells (neurons) communicate. A spiking neural system is a concurrent se...

Jul 13 2016
  Deep learning: methods and applications
Deng L., Yu D.  Foundations and Trends in Signal Processing 7(3–4): 197-387, 2014. Type: Article

Deep learning encompasses “machine learning techniques, where many layers of information processing stages ... are exploited for unsupervised feature learning and for pattern analysis/classification” (p. 217). The resulting hierarchica...

Nov 13 2015
  Spiking deep convolutional neural networks for energy-efficient object recognition
Cao Y., Chen Y., Khosla D.  International Journal of Computer Vision 113(1): 54-66, 2015. Type: Article

A novel mechanism for converting convolutional neural networks (CNNs) to spiking neural networks (SNNs) to facilitate ready deployment, that is, mapping on spiking hardware architectures, is proposed in this paper....

Sep 28 2015
  A hybrid model through the fusion of type-2 fuzzy logic systems and extreme learning machines for modelling permeability prediction
Olatunji S., Selamat A., Abdulraheem A.  Information Fusion 1629-45, 2014. Type: Article

The simplest computational models in artificial intelligence are so-called single hidden-layer feed-forward neural networks. These neural networks have to be trained, but the slow learning rate of simple algorithms makes this time-consuming. Extre...

Feb 12 2014
  Hierarchical neural network structures for phoneme recognition
Vasquez D., Gruhn R., Minker W.,  Springer Publishing Company, Incorporated, Berlin, Germany, 2013. 151 pp. Type: Book (978-3-642344-24-4)

This brief book comes packed with useful information about some novel techniques for the recognition of speech building blocks known as phonemes. In fact, as the authors acknowledge, the techniques are not entirely new, but rather an extension of ...

May 24 2013
  Classification of arrhythmia using hybrid networks
Haseena H., Joseph P., Mathew A.  Journal of Medical Systems 35(6): 1617-1630, 2011. Type: Article

A new methodology for medical differential diagnosis purposes, based on the use of fuzzy clustered hybrid networks, is detailed in this paper. The study is focused on discriminating among the diseases of a certain class that includes normal hearts...

May 17 2012
  Comparing error minimized extreme learning machines and support vector sequential feed-forward neural networks
Romero E., Alquézar R.  Neural Networks 25122-129, 2012. Type: Article

Error minimized extreme learning machines (EM-ELMs) were introduced to improve upon the learning time of feed-forward learning neural networks [1]. EM-ELMs are constructed by an incremental process that introduces hidden nodes into the network in ...

Mar 2 2012
  Hybrid neural network and case based reasoning system for Web user behavior clustering and classification
Zehraoui F., Kanawati R., Salotti S.  International Journal of Hybrid Intelligent Systems 7(3): 171-186, 2010. Type: Article

The question of how to classify visitors of e-commerce systems into buyers and nonbuyers is of great importance in today’s world of pervasive e-commerce. The typical behavior of visitors to an e-commerce Web site can be modeled by a sequence...

Mar 21 2011
  Networks: an introduction
Newman M.,  Oxford University Press, Inc., New York, NY, 2010. 720 pp. Type: Book (978-0-199206-65-0), Reviews: (2 of 2)

The modern study of networks has become a prototype of interdisciplinary research. Sociologists, computer scientists, chemists, economists, power engineers, transportation engineers, and a host of other communities whose problem domains consist of...

Nov 4 2010
 
 
 
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