As users or consumers are now demanding smarter devices intelligent systems are
revolutionizing by utilizing machine learning. Machine learning as part of intelligent systems
is already one of the most critical components in everyday tools ranging from search engines
and credit card fraud detection to stock market analysis. You can train machines to perform
some things so that they can automatically detect diagnose and solve a variety of problems.
The intelligent systems have made rapid progress in developing the state of the art in machine
learning based on smart and deep perception. Using machine learning the intelligent systems
make widely applications in automated speech recognition natural language processing medical
diagnosis bioinformatics and robot locomotion. This book aims at introducing how to treat a
substantial amount of data to teach machines and to improve decision making models. And this
book specializes in the developments of advanced intelligent systems through machine learning.
It consists of 11 contributions that features illumination change detection generator of
electronic educational publications intelligent call triage system recognition of rocks at
uranium deposits graphics processing units mathematical model of hit phenomena selection and
mutation in genetic algorithm hands and arms motion estimation application of wavelet network
Kanizsa triangle illusion and support vector machine regression. Also it describes how to
apply the machine learning for the intelligent systems. This edition is published in original
peer reviewed contributions covering from initial design to final prototypes and verifications.
