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Simon Haykin

Known as: Haykin 
Simon Haykin is an electrical engineer, noted for his pioneering work in adaptive signal-processing with emphasis on applications in radar and… Expand
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Papers overview

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Review
2017
Review
2017
Support vector machines (SVMs) are a supervised classifier successfully applied in a plethora of real-life applications. However… Expand
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Highly Cited
2010
Highly Cited
2010
One benefit of fuzzy systems (Zadeh, 1965; Ruspini et al., 1998; Cox, 1994) is that the rule base can be created from expert… Expand
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Highly Cited
2008
Highly Cited
2008
  • H. Yin
  • Computational Intelligence: A Compendium
  • 2008
  • Corpus ID: 8358317
For many years, artificial neural networks (ANNs) have been studied and used to model information processing systems based on or… Expand
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Highly Cited
2006
Highly Cited
2006
Signal processing and neural computation have separately and significantly influenced many disciplines, but the cross… Expand
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Highly Cited
1998
Highly Cited
1998
From the Publisher: This book represents the most comprehensive treatment available of neural networks from an engineering… Expand
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Highly Cited
1998
Highly Cited
1998
Dynamic Bayesian networks (DBNs) are a powerful and flexible methodology for representing and computing with probabilistic models… Expand
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1994
1994
In her recent article, "American Music Libraries and Librarianship: challenges for the Nineties," Mary Wallace Davidson's… Expand
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Highly Cited
1992
Highly Cited
1992
An approach for the implementation of the Radial Basis Function (RBF) technique is presented and applied to a network of the… Expand
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Highly Cited
1978
Highly Cited
1978
This best-selling, easy to read book offers the most complete discussion on the theories and principles behind today's most… Expand
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