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IEEE Transactions on Neural Networks and Learning Systems
IEEE Transactions on Neural Networks and Learning Systems is a monthly peer-reviewed scientific journal published by the IEEE Computational…
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Semantic Scholar uses AI to extract papers important to this topic.
2020
2020
Editorial: Another Successful Year and Looking Forward to 2020
Haibo He
IEEE Trans. Neural Networks Learn. Syst.
2020
Corpus ID: 210473424
“Happy New Year!” As you open this January issue of the IEEE Transactions on Neural Networks and Learning Systems (TNNLS), I hope…
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2018
2018
Adaptive control of a rigid body vehicle on exponential coordinates with guaranteed performance
E. Arabi
,
S. B. Sarsılmaz
,
T. Yucelen
,
Mohammad Maadani
,
E. Butcher
,
Morad Nazari
2018
Corpus ID: 65083510
Adaptive control systems are widely used for compensating the effect of disturbances, system uncertainties, unmodeled dynamics…
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2017
2017
Editorial: A Successful Year and Looking Forward to 2017 and Beyond
Haibo He
,
R. Haas
,
+14 authors
M. Wang
IEEE Trans. Neural Networks Learn. Syst.
2017
Corpus ID: 930103
This issue marks the first anniversary issue since I was honored to serve as the Editor-in-Chief (EiC) of the IEEE Transactions…
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2015
2015
Directional Clustering through Matrix Factorization Experiments
T. Blumensath
2015
Corpus ID: 61453986
These data files and matlab scripts allow the user to recreate the numerical experiments in the paper Thomas Blumensath…
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2013
2013
Knowledge Discovery fromMixed Data by Artificial Neural Network with Unsupervised Learning
Chung-Chian Hsu
,
Chien-Hao Kung
2013
Corpus ID: 29929284
Knowledge discovery or data mining from massive data is a hot issue in business and academia in recent years. Real-world data are…
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Review
2013
Review
2013
The Exponentially Embedded Family of Distributions for Effective Data Representation, Information Extraction, and Decision Making
S. Kay
,
Haibo He
,
Quan Ding
2013
Corpus ID: 60163968
Abstract : We have focused on the mathematical formalism and stochastic machine learning algorithms for extraction of relevant…
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Review
2005
Review
2005
Information for Authors
Biological Psychiatry
2005
Corpus ID: 53294824
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