Skip to search form
Skip to main content
Skip to account menu
Semantic Scholar
Semantic Scholar's Logo
Search 226,613,897 papers from all fields of science
Search
Sign In
Create Free Account
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…
Expand
Wikipedia
(opens in a new tab)
Create Alert
Alert
Related topics
Related topics
7 relations
Akaike information criterion
Fuzzy logic
Leonid Perlovsky
Outline of artificial intelligence
Expand
Broader (2)
Artificial intelligence
Machine learning
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Review
2011
Review
2011
Cognitive Based Distributed Sensing, Processing, and Communication
R. Ilin
,
L. Perlovsky
2011
Corpus ID: 14654061
INTRODUCTION The greatest challenge to modern sensor processing is computational complexity and limited communication bandwidth…
Expand
2011
2011
Language, Emotions, and Cultures: Emotional Sapir-Whorf Hypothesis
L. Perlovsky
arXiv.org
2011
Corpus ID: 10216691
An emotional version of Sapir-Whorf hypothesis suggests that differences in language emotionalities influence differences among…
Expand
2011
2011
Dynamic Logic learning in cognitive-based situation models
R. Ilin
,
L. Perlovsky
Conference on Cognitive and Computational Aspects…
2011
Corpus ID: 32001845
we present a cognitive modeling framework called Neural Modeling Fields (NMF) and its application to situation learning and…
Expand
2011
2011
Cognitive Algorithms for Signal Processing
L. Perlovsky
2011
Corpus ID: 27983920
Abstract : Processes in the mind: perception, cognition, concepts, instincts, emotions, and higher cognitive abilities are…
Expand
2010
2010
A computational model of adults' performance in naming objects using cross-situational learning
J. Fontanari
,
L. Perlovsky
IEEE 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…
Expand
2010
2010
Neural Modeling Fields
Ит Информатика
2010
Corpus ID: 215983766
2009
2009
Fusion and mining spatial data in cyber-physical space with Dynamic Logic of Phenomena
Boris Kovalerchuk
,
L. Perlovsky
International Joint Conference on Neural Networks
2009
Corpus ID: 11657158
Modeling of complex phenomena such as the mind presents tremendous computational complexity challenges. The Neural Modeling…
Expand
2008
2008
Object perception in the neural modeling fields framework
J. Fontanari
,
L. Perlovsky
IEEE World Congress on Computational Intelligence
2008
Corpus ID: 36278667
Movement seems to be the key ingredient to understanding how children perceive (and hence name) objects in their environment…
Expand
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…
Expand
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…
Expand
By clicking accept or continuing to use the site, you agree to the terms outlined in our
Privacy Policy
(opens in a new tab)
,
Terms of Service
(opens in a new tab)
, and
Dataset License
(opens in a new tab)
ACCEPT & CONTINUE