Identificacion Principal del registro INGC-EBK-000477

Control Number Identifier AR-LpUFI

LAST MODIFICATION DATE 20160831110150

CONTROL FIELD cr nn 008mamaa

CONTROL FIELD 140304s2014 gw | s |||| 0|eng d

a International Standard Book Number 9783319055336

a Standard number or code 10.1007/978-3-319-05533-6

a Title Soft Computing in Machine Learning

h Medium [libro electrónico] /

c Statement of responsibility, etc edited by Sang-Yong Rhee, Jooyoung Park, Atsushi Inoue.

a Place of publication, distribution, etc Cham :

b Name of publisher, distributor, etc Springer International Publishing :

b Name of publisher, distributor, etc Imprint: Springer,

c Date of publication, distribution, etc 2014.

a Extent x, 117 p. :

b Other physical details il.

a Series statement Advances in Intelligent Systems and Computing,

x International Standard Serial Number 2194-5357 ;

v Volume number/sequential designation 273

a Formatted contents note Sudden Illumination Change Detection and Image Contrast Enhancement -- Frame concept for generator of electronic educational publications -- Intelligent call triage system with algorithm combining decision-tree and SVM -- Recognition of Rocks at Uranium Deposits by using a Few Methods of Machine Learning -- More Faster Self-Organizing Maps by General Purpose on Graphics Processing Units -- Analysis of Local Concerts using Facebook Adapting the Mathematical Model of Hit Phenomena -- Hands and arms motion estimation of a car driver with depth image sensor by using particle ï¬_lter -- SNR Improvement of an Optical Wave Microphone Using a Wavelet Network -- Origin of Kanizsa triangle illusion -- LTS-SVMR for Modeling of Nonlinear Systems with Noise and Outliers.

a Summary, etc 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.   .

a Topical term or geographic name as entry element Engineering.

a Topical term or geographic name as entry element Computational intelligence.

a Topical term or geographic name as entry element Artificial Intelligence (incl. Robotics).

a Personal name Rhee, Sang-Yong,

e Relator term ed.

a Personal name Park, Jooyoung,

e Relator term ed.

a Personal name Inoue, Atsushi,

e Relator term ed.

u Uniform Resource Identifier (R) http://dx.doi.org/10.1007/978-3-319-05533-6

c item type EBK

a descripción COM