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Optimization in machine learning and...

Kulkarni, Anand Jayant,

Optimization in machine learning and applications /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Optimization in machine learning and applications /Anand J. Kulkarni, Suresh Chandra Satapathy, editors.
other author:	Kulkarni, Anand Jayant,
Published:	Singapore :Springer,c2020.
Description:	ix, 197 p. :ill. (some col.) ;25 cm.
Subject:	Machine learningMathematics.
ISBN:	9789811509933 :

Optimization in machine learning and applications /
Optimization in machine learning and applications /Anand J. Kulkarni, Suresh Chandra Satapathy, editors. - Singapore :Springer,c2020. - ix, 197 p. :ill. (some col.) ;25 cm. - Algorithms for intelligent systems. - Algorithms for intelligent systems..

Includes bibliographical references and author index.

Use of artificial neural network for abnormality detection in medical images / Prachi R. Rajarapollu, Debashis Adhikari and Nutan V. Bansode -- Deep learning techniques for crime hotspot detection / Sankar N. Nair and E.S. Gopi -- Optimization techniques for machine learning / Souad Taleb Zouggar and Abdelkader Adla -- A package including pre-processing, feature extraction, feature reduction, and classification for MRI classification / Alireza Balavand and Ali Husseinzadeh Kashan -- Predictive analysis of lake water quality using an evolutionary algorithm / Mrunalini Jadhav, Kanchan Khare, Sayali Apte and Rushikesh Kulkarni -- A survey on the latest development of machine learning in genetic algorithm and particle swam optimization / Dipti Kapoor Sarmah -- A hybridized data clustering for breast cancer prognosis and risk exposure using fuzzy C-means and cohort intelligence / Meeta Kumar, Anand J. Kulkarni and Suresh Chandra Satapathy -- Development of algorithm for spatial modelling of climate data for agriculture management for the semi-arid area of Maharashtra in India / Vidya Kumbhar and T.P. Singh -- A survey on human group activity recognition by analyzing person action from video sequences using machine learning techniques / Smita Kulkarni, Sangeeta Jadhav and Debashis Adhikari -- Artificial intelligence in journalism : a boon or bane? / Santosh Kumar Biswal and Nikhil Kumar Gouda -- A perspective of artificial intelligence in public relations : the way forward / Santosh Kumar Biswal -- Roulette wheel selection- based computational intelligence technique to design an efficient transmission policy for energy harvesting sensors / Shaik Mahammad, E.S. Gopi and Vineetha Yogesh.

This book discusses one of the major applications of artificial intelligence: the use of machine learning to extract useful information from multimodal data. It discusses the optimization methods that help minimize the error in developing patterns and classifications, which further helps improve prediction and decision-making. The book also presents formulations of real- world machine learning problems, and discusses AI solution methodologies as standalone or hybrid approaches. Lastly, it proposes novel metaheuristic methods to solve complex machine learning problems. Featuring valuable insights, the book helps readers explore new avenues leading toward multidisciplinary research discussions.

ISBN: 9789811509933 :EUR$159.99Subjects--Topical Terms:

857106
Machine learning
--Mathematics.

LC Class. No.: Q325.5 / .O68 2020

Optimization in machine learning and applications /
LDR:03177nam a2200229 a 4500 001 571084
003 OCoLC
005 20200809215718.0
008 200908s2020 si a b 001 0 eng d
020 $a 9789811509933 : $c EUR$159.99
020 $z 9789811509940 (ebook)
031 3 8 $a cam a2200217 a 450
035 $a (OCoLC)1120689688
035 $a on1120689688
040 $a YDX $b eng $c YDX $d SOI $d OCLCF $d OCLCQ
050 4 $a Q325.5 $b .O68 2020
245 0 0 $a Optimization in machine learning and applications / $c Anand J. Kulkarni, Suresh Chandra Satapathy, editors.
260 $a Singapore : $b Springer, $c c2020.
300 $a ix, 197 p. : $b ill. (some col.) ; $c 25 cm.
490 1 $a Algorithms for intelligent systems
504 $a Includes bibliographical references and author index.
505 0 $a Use of artificial neural network for abnormality detection in medical images / Prachi R. Rajarapollu, Debashis Adhikari and Nutan V. Bansode -- Deep learning techniques for crime hotspot detection / Sankar N. Nair and E.S. Gopi -- Optimization techniques for machine learning / Souad Taleb Zouggar and Abdelkader Adla -- A package including pre-processing, feature extraction, feature reduction, and classification for MRI classification / Alireza Balavand and Ali Husseinzadeh Kashan -- Predictive analysis of lake water quality using an evolutionary algorithm / Mrunalini Jadhav, Kanchan Khare, Sayali Apte and Rushikesh Kulkarni -- A survey on the latest development of machine learning in genetic algorithm and particle swam optimization / Dipti Kapoor Sarmah -- A hybridized data clustering for breast cancer prognosis and risk exposure using fuzzy C-means and cohort intelligence / Meeta Kumar, Anand J. Kulkarni and Suresh Chandra Satapathy -- Development of algorithm for spatial modelling of climate data for agriculture management for the semi-arid area of Maharashtra in India / Vidya Kumbhar and T.P. Singh -- A survey on human group activity recognition by analyzing person action from video sequences using machine learning techniques / Smita Kulkarni, Sangeeta Jadhav and Debashis Adhikari -- Artificial intelligence in journalism : a boon or bane? / Santosh Kumar Biswal and Nikhil Kumar Gouda -- A perspective of artificial intelligence in public relations : the way forward / Santosh Kumar Biswal -- Roulette wheel selection- based computational intelligence technique to design an efficient transmission policy for energy harvesting sensors / Shaik Mahammad, E.S. Gopi and Vineetha Yogesh.
520 $a This book discusses one of the major applications of artificial intelligence: the use of machine learning to extract useful information from multimodal data. It discusses the optimization methods that help minimize the error in developing patterns and classifications, which further helps improve prediction and decision-making. The book also presents formulations of real- world machine learning problems, and discusses AI solution methodologies as standalone or hybrid approaches. Lastly, it proposes novel metaheuristic methods to solve complex machine learning problems. Featuring valuable insights, the book helps readers explore new avenues leading toward multidisciplinary research discussions.
650 0 $a Machine learning $x Mathematics. $3 857106
700 1 $a Kulkarni, Anand Jayant, $e editor. $3 857953
700 1 $a Satapathy, Suresh Chandra, $d 1964- $e editor. $3 857954
830 0 $a Algorithms for intelligent systems. $3 857955