z-logo
open-access-imgOpen Access
On Power-Law Kernels, Corresponding Reproducing Kernel Hilbert Space and Applications
Author(s) -
Debarghya Ghoshdastidar,
Ambedkar Dukkipati
Publication year - 2013
Publication title -
proceedings of the aaai conference on artificial intelligence
Language(s) - English
Resource type - Journals
eISSN - 2374-3468
pISSN - 2159-5399
DOI - 10.1609/aaai.v27i1.8555
Subject(s) - reproducing kernel hilbert space , hilbert space , entropy (arrow of time) , mathematics , kernel (algebra) , gaussian , maximization , statistical mechanics , laplace operator , tsallis entropy , entropy maximization , power law , generalization , probability measure , statistical learning , principle of maximum entropy , mathematical optimization , statistical physics , computer science , artificial intelligence , pure mathematics , mathematical analysis , physics , statistics , tsallis statistics , quantum mechanics

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom