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Neural modeling fields

Neural modeling field (NMF) is a mathematical framework for machine learning which combines ideas from neural networks, fuzzy logic, and model based… 
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Papers overview

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Highly Cited
2010
Highly Cited
2010
The authors present a cognitively inspired mathematical learning framework called Neural Modeling Fields (NMF). They apply it to… 
2010
2010
People learn the meaning of words in ambiguous contexts with many possible words for any referent and many referents for any word… 
2009
2009
Cross-situational learning is based on the idea that a learner can determine the meaning of a word by finding something in common… 
2008
2008
Movement seems to be the key ingredient to understanding how children perceive (and hence name) objects in their environment… 
2008
2008
Modeling of complex phenomena such as the mind presents tremendous computational complexity challenges. The neural modeling… 
2007
2007
  • L. Perlovsky
  • International Joint Conference on Neural Networks
  • 2007
  • Corpus ID: 11774265
The knowledge instinct drives higher cognitive functions of the mind and determines evolution of consciousness and cultures… 
2007
2007
  • L. Perlovsky
  • International Joint Conference on Neural Networks
  • 2007
  • Corpus ID: 15224295
Natural language computer interfaces and search engines remain elusive goals. The paper considers mathematical difficulties… 
2007
2007
We describe a new approach for combining range and Doppler data from multiple radar platforms to perform multi-target detection… 
Highly Cited
2007
Highly Cited
2007
  • L. Perlovsky
  • IEEE Computational Intelligence Magazine
  • 2007
  • Corpus ID: 10857166
The knowledge instinct is a fundamental mechanism of the mind that drives evolution of higher cognitive functions. Neural…