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Advances in machine learning and com...

ICMLCI (Conference) ((2019 :)

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Advances in machine learning and computational intelligence = proceedings of ICMLCI 2019 /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Advances in machine learning and computational intelligence/ edited by Srikanta Patnaik, Xin-She Yang, Ishwar K. Sethi.
其他題名:	proceedings of ICMLCI 2019 /
其他題名:	ICMLCI 2019
其他作者:	Patnaik, Srikanta.
團體作者:	ICMLCI (Conference)
出版者:	Singapore :Springer Singapore : : 2021.,
面頁冊數:	xviii, 878 p. :ill., digital ;24 cm.
內容註:	Part 1: Modeling & Optimization -- Chapter 1. Intrusion Detection using a Hybrid Sequential Model -- Chapter 2. Simulation and Analysis of the PV Arrays Connected to Buck-Boost converters using MPPT Technique by Implementing Incremental Conductance Algorithm and Integral Controller -- Chapter 3. A New Congestion Control Algorithm for SCTP -- Chapter 4. RGNet: The Novel Framework to Model Linked Research Gate Information into Network using Hierarchical Data Rendering -- Chapter 5. A New Approach for Momentum Particle Swarm Optimization -- Chapter 6. Neural Networks Modeling Based On Recent Global Optimization Techniques -- Part 2: Part 2 - Machine Learning Techniques -- Chapter 7. Network Intrusion Detection Model Using One Class Support Vector Machine -- Chapter 8. Query Performance Analysis Tool for Distributed Systems -- Chapter 9. A Robust Multiple Moving Vehicle Tracking for Intelligent Transportation System -- Chapter 10. Bug Priority Assessment in Cross Project context using Entropy based Measure -- Chapter 11. Internet of Things Security using Machine Learning -- Chapter 12. Churn Prediction and Retention in Banking, Telecom and IT Sector using Machine Learning Techniques.
Contained By:	Springer Nature eBook
標題:	Machine learning - Congresses. -
電子資源:	https://doi.org/10.1007/978-981-15-5243-4
ISBN:	9789811552434

Advances in machine learning and computational intelligence = proceedings of ICMLCI 2019 /
Advances in machine learning and computational intelligenceproceedings of ICMLCI 2019 /[electronic resource] :ICMLCI 2019edited by Srikanta Patnaik, Xin-She Yang, Ishwar K. Sethi. - Singapore :Springer Singapore :2021. - xviii, 878 p. :ill., digital ;24 cm. - Algorithms for intelligent systems,2524-7565. - Algorithms for intelligent systems..

Part 1: Modeling & Optimization -- Chapter 1. Intrusion Detection using a Hybrid Sequential Model -- Chapter 2. Simulation and Analysis of the PV Arrays Connected to Buck-Boost converters using MPPT Technique by Implementing Incremental Conductance Algorithm and Integral Controller -- Chapter 3. A New Congestion Control Algorithm for SCTP -- Chapter 4. RGNet: The Novel Framework to Model Linked Research Gate Information into Network using Hierarchical Data Rendering -- Chapter 5. A New Approach for Momentum Particle Swarm Optimization -- Chapter 6. Neural Networks Modeling Based On Recent Global Optimization Techniques -- Part 2: Part 2 - Machine Learning Techniques -- Chapter 7. Network Intrusion Detection Model Using One Class Support Vector Machine -- Chapter 8. Query Performance Analysis Tool for Distributed Systems -- Chapter 9. A Robust Multiple Moving Vehicle Tracking for Intelligent Transportation System -- Chapter 10. Bug Priority Assessment in Cross Project context using Entropy based Measure -- Chapter 11. Internet of Things Security using Machine Learning -- Chapter 12. Churn Prediction and Retention in Banking, Telecom and IT Sector using Machine Learning Techniques.

This book gathers selected high-quality papers presented at the International Conference on Machine Learning and Computational Intelligence (ICMLCI-2019), jointly organized by Kunming University of Science and Technology and the Interscience Research Network, Bhubaneswar, India, from April 6 to 7, 2019. Addressing virtually all aspects of intelligent systems, soft computing and machine learning, the topics covered include: prediction; data mining; information retrieval; game playing; robotics; learning methods; pattern visualization; automated knowledge acquisition; fuzzy, stochastic and probabilistic computing; neural computing; big data; social networks and applications of soft computing in various areas.

ISBN: 9789811552434

Standard No.: 10.1007/978-981-15-5243-4doiSubjects--Topical Terms:

576368
Machine learning
--Congresses.

LC Class. No.: Q325.5 / .I26 2019

Dewey Class. No.: 006.31

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