Information Theoretic Learning Renyi's Entropy and Kernel Perspectives
Description
This book is the first cohesive treatment of ITL algorithms to adapt linear or nonlinear learning machines both in supervised and unsupervised paradigms. It compares the performance of ITL algorithms with the second order counterparts in many applications.
Keywords
ComputersComputer ScienceIntelligence (AI) & SemanticsTechnology & EngineeringElectronicsMathematicsProbability & StatisticsRemote Sensing & Geographic Information SystemsInformation TechnologyImaging Systems
2010Book
Author(s)J. C. Príncipe
PublisherSpringer New York
ISBN9781441915696
LanguageEnglish
