國立高雄大學圖資館 |

Language: English

Back

Applications of machine learning

Johri, Prashant.

Applications of machine learning

Record Type:	Electronic resources : Monograph/item
Title/Author:	Applications of machine learningedited by Prashant Johri, Jitendra Kumar Verma, Sudip Paul.
other author:	Johri, Prashant.
Published:	Singapore :Springer Singapore :2020.
Description:	xxii, 394 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Machine learning.
Online resource:	https://doi.org/10.1007/978-981-15-3357-0
ISBN:	9789811533570$q(electronic bk.)

Applications of machine learning
Applications of machine learning[electronic resource] /edited by Prashant Johri, Jitendra Kumar Verma, Sudip Paul. - Singapore :Springer Singapore :2020. - xxii, 394 p. :ill., digital ;24 cm. - Algorithms for intelligent systems,2524-7565. - Algorithms for intelligent systems..

Statistical Learning Process for the Reduction of Sample Collection Assuring a Desired Level of Confidence -- Sentiment Analysis on Google Play Store Data using Deep Learning -- Managing the Data Meaning in the Data Stream Processing: A Systematic Literature Mapping -- Tracking an Object using Traditional MS (Mean Shift) and CBWH MS (Mean Shift) Algorithm with Kalman Filter -- Transfer Learning and Domain Adaptation for Named Entity Recognition -- Knowledge Graph from Informal Text: Architecture, Components, Algorithms and Applications -- Neighborhood-based Collaborative Recommendations: An Introduction -- Classification of Arabic Texts Using Singular Value Decomposition and Fuzzy C-Means Algorithms -- Echo State Network Based Nonlinear Channel Equalization in Wireless Communication System -- Melody Extraction from Music: A Comprehensive Study -- Comparative Analysis of Combined Gas Turbine-Steam Turbine Power Cycle Performance by Using Entropy Generation and Statistical Methodology -- Data Mining - A Tool for Handling Huge Voluminous Data -- Improved Training Pattern in Back Propagation Neural Networks Using Holt-Winters' Seasonal Method and Gradient Boosting Model -- Ensemble of Multi-headed Machine Learning Architectures for Time-series Forecasting of Healthcare Expenditures -- Applying Soft Computing Approaches To Investigate Software Fault Proneness in Agile Software Development Environment.

This book covers applications of machine learning in artificial intelligence. The specific topics covered include human language, heterogeneous and streaming data, unmanned systems, neural information processing, marketing and the social sciences, bioinformatics and robotics, etc. It also provides a broad range of techniques that can be successfully applied and adopted in different areas. Accordingly, the book offers an interesting and insightful read for scholars in the areas of computer vision, speech recognition, healthcare, business, marketing, and bioinformatics.

ISBN: 9789811533570$q(electronic bk.)

Standard No.: 10.1007/978-981-15-3357-0doiSubjects--Topical Terms:

188639
Machine learning.

LC Class. No.: Q325.5 / .A675 2020

Dewey Class. No.: 006.31

Applications of machine learning
LDR:03036nmm a2200337 a 4500 001 571945
003 DE-He213
005 20200814155016.0
006 m d
007 cr nn 008maaau
008 200922s2020 si s 0 eng d
020 $a 9789811533570$q(electronic bk.)
020 $a 9789811533563$q(paper)
024 7 $a 10.1007/978-981-15-3357-0 $2 doi
035 $a 978-981-15-3357-0
040 $a GP $c GP
041 0 $a eng
050 4 $a Q325.5 $b .A675 2020
072 7 $a TBJ $2 bicssc
072 7 $a TEC009000 $2 bisacsh
072 7 $a TBJ $2 thema
082 0 4 $a 006.31 $2 23
090 $a Q325.5 $b .A652 2020
245 0 0 $a Applications of machine learning $h [electronic resource] / $c edited by Prashant Johri, Jitendra Kumar Verma, Sudip Paul.
260 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2020.
300 $a xxii, 394 p. : $b ill., digital ; $c 24 cm.
490 1 $a Algorithms for intelligent systems, $x 2524-7565
505 0 $a Statistical Learning Process for the Reduction of Sample Collection Assuring a Desired Level of Confidence -- Sentiment Analysis on Google Play Store Data using Deep Learning -- Managing the Data Meaning in the Data Stream Processing: A Systematic Literature Mapping -- Tracking an Object using Traditional MS (Mean Shift) and CBWH MS (Mean Shift) Algorithm with Kalman Filter -- Transfer Learning and Domain Adaptation for Named Entity Recognition -- Knowledge Graph from Informal Text: Architecture, Components, Algorithms and Applications -- Neighborhood-based Collaborative Recommendations: An Introduction -- Classification of Arabic Texts Using Singular Value Decomposition and Fuzzy C-Means Algorithms -- Echo State Network Based Nonlinear Channel Equalization in Wireless Communication System -- Melody Extraction from Music: A Comprehensive Study -- Comparative Analysis of Combined Gas Turbine-Steam Turbine Power Cycle Performance by Using Entropy Generation and Statistical Methodology -- Data Mining - A Tool for Handling Huge Voluminous Data -- Improved Training Pattern in Back Propagation Neural Networks Using Holt-Winters' Seasonal Method and Gradient Boosting Model -- Ensemble of Multi-headed Machine Learning Architectures for Time-series Forecasting of Healthcare Expenditures -- Applying Soft Computing Approaches To Investigate Software Fault Proneness in Agile Software Development Environment.
520 $a This book covers applications of machine learning in artificial intelligence. The specific topics covered include human language, heterogeneous and streaming data, unmanned systems, neural information processing, marketing and the social sciences, bioinformatics and robotics, etc. It also provides a broad range of techniques that can be successfully applied and adopted in different areas. Accordingly, the book offers an interesting and insightful read for scholars in the areas of computer vision, speech recognition, healthcare, business, marketing, and bioinformatics.
650 0 $a Machine learning. $3 188639
650 1 4 $a Mathematical and Computational Engineering. $3 775095
650 2 4 $a Signal, Image and Speech Processing. $3 273768
650 2 4 $a Machine Learning. $3 833608
650 2 4 $a Image Processing and Computer Vision. $3 274051
650 2 4 $a Logic in AI. $3 836108
650 2 4 $a Probability and Statistics in Computer Science. $3 274053
700 1 $a Johri, Prashant. $3 837777
700 1 $a Verma, Jitendra Kumar. $3 858782
700 1 $a Paul, Sudip. $3 855036
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
830 0 $a Algorithms for intelligent systems. $3 857955
856 4 0 $u https://doi.org/10.1007/978-981-15-3357-0
950 $a Engineering (Springer-11647)