Signal Processing and Machine Learning Theory, authored by world-leading experts, reviews the principles, methods and te
499 74 119MB
English Pages 1234 Year 2023
Report DMCA / Copyright
DOWNLOAD FILE
244 70 36MB Read more
This first volume, edited and authored by world leading experts, gives a review of the principles, methods and technique
310 142 34MB Read more
384 156 6MB Read more
775 192 10MB Read more
This book describes in detail the fundamental mathematics and algorithms of machine learning (an example of artificial i
2,952 460 9MB Read more
An enlightening amalgamation of deep learning concepts with visual computing and signal processing applications, this ne
513 176 16MB Read more
Document Processing Using Machine Learning aims at presenting a handful of resources for students and researchers workin
1,567 204 8MB Read more
This book presents recent advances of Bayesian inference in structured tensor decompositions. It explains how Bayesian m
465 46 4MB Read more
Genomic signal processing (GSP) can be defined as the analysis, processing, and use of genomic signals to gain biologica
191 102 2MB Read more
441 58 20MB Read more