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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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Related topics
Related topics
7 relations
Akaike information criterion
Fuzzy logic
Leonid Perlovsky
Outline of artificial intelligence
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Broader (2)
Artificial intelligence
Machine learning
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2015
2015
A Smart Adaptable Architecture Based on Contexts for Cyber Physical Systems
Francesco Rago
Complex Adaptive Systems
2015
Corpus ID: 26355952
Highly Cited
2010
Highly Cited
2010
Cognitively Inspired Neural Network for Recognition of Situations
R. Ilin
,
L. Perlovsky
Int. J. Nat. Comput. Res.
2010
Corpus ID: 6812242
The authors present a cognitively inspired mathematical learning framework called Neural Modeling Fields (NMF). They apply it to…
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2010
2010
A computational model of adults' performance in naming objects using cross-situational learning
J. Fontanari
,
L. Perlovsky
The International Joint Conference on Neural…
2010
Corpus ID: 15304204
People learn the meaning of words in ambiguous contexts with many possible words for any referent and many referents for any word…
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2009
2009
A cross-situational algorithm for learning a lexicon using Neural modeling fields
J. Fontanari
,
V. Tikhanoff
,
A. Cangelosi
,
L. Perlovsky
International Joint Conference on Neural Networks
2009
Corpus ID: 6224668
Cross-situational learning is based on the idea that a learner can determine the meaning of a word by finding something in common…
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2008
2008
Object perception in the neural modeling fields framework
J. Fontanari
,
L. Perlovsky
IEEE International Joint Conference on Neural…
2008
Corpus ID: 36278667
Movement seems to be the key ingredient to understanding how children perceive (and hence name) objects in their environment…
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2008
2008
Dynamic logic of phenomena and cognition
Boris Kovalerchuk
,
L. Perlovsky
IEEE International Joint Conference on Neural…
2008
Corpus ID: 15609042
Modeling of complex phenomena such as the mind presents tremendous computational complexity challenges. The neural modeling…
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2007
2007
Neural Modeling Fields, Evolution of Consciousness and Cultures
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…
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2007
2007
Neural Modeling Fields for Natural Language
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…
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2007
2007
Neural Modeling Fields for Multitarget/Multisensor Tracking
R. Deming
,
J. Schindler
,
L. Perlovsky
International Joint Conference on Neural Networks
2007
Corpus ID: 13567128
We describe a new approach for combining range and Doppler data from multiple radar platforms to perform multi-target detection…
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Highly Cited
2007
Highly Cited
2007
Evolution of Languages, Consciousness and Cultures
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…
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