Learning With Jensen-Tsallis Kernels
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Material Type |
Article
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Author(s) |
Ghoshdastidar, Debarghya (Author)
P. Adsul, Ajay (Author)
Dukkipati, Ambedkar (Author)
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Source Journal Info. |
Title:
IEEE Transactions on Neural Networks and Learning Systems
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Volume/ Issue No.: 2016/OCT V.27 N.10
Call No.:006 ITN Location: Periodicals & References Hall - 2nd floor
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Physical Description |
p 2108 - 2119
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Subject Area/ Descriptors |
Computer
(12522)
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Abstract |
Jensen-type [Jensen-Shannon (JS) and Jensen-Tsallis] kernels were first proposed by Martins et al. (2009). These kernels are based on JS divergences that originated in the information theory....
Full Abstract
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Journal:
IEEE Transactions on Neural Networks and Learning Systems
(1903)
Issu: 2016/OCT V.27 N.10
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