"Boosting Based Multiclass Ensembles and Their Applications in Machine Learning"

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Book	Author(s)	Year	Publisher
Ensembles in Machine Learning Applications	Oleg Okun; Giorgio Valentini; Matteo Re	2011	Springer Berlin Heidelberg
Machine Learning Paradigms: Advances in Deep Learning-based Technological Applications	George A. Tsihrintzis; Lakhmi C. Jain	1st ed. 2020	Springer International Publishing
Optimization in Machine Learning and Applications	Anand J. Kulkarni; Suresh Chandra Satapathy	1st ed. 2020	Springer Nature Singapore
Modern Machine Learning Techniques and Their Applications in Cartoon Animation Research	Jun Yu; Dacheng Tao	2013	Wiley-IEEE Press
Machine Learning Algorithms and Applications	Mettu Srinivas; G. Sucharitha; Anjanna Matta	2021	John Wiley & Sons
Machine Learning and its Applications	Peter Wlodarczak	2019	Routledge
Machine Learning: Algorithms and Applications	Mohssen Mohammed; Muhammad Badruddin Khan; Eihab Bashier Mohammed Bashier	2016	Routledge
Innovations in Machine Learning: Theory and Applications	Dawn E. Holmes	2006	Springer Berlin Heidelberg
Metaheuristics in Machine Learning: Theory and Applications	Diego Oliva; Essam H. Houssein; Salvador Hinojosa	1st ed. 2021	Springer International Publishing
Machine Learning and Deep Learning in Real-Time Applications	Paawan Sharma, Kamal Kant Hiran, Gaurav Meena, Mehul Mahrishi	2020	Engineering Science Reference
Applications of Machine Learning	Prashant Johri; Jitendra Kumar Verma; Sudip Paul	1st ed. 2020	Springer Nature Singapore
Machine Learning Adoption in Blockchain-Based Intelligent Manufacturing: Theoretical Basics, Applications, and Challenges	Om Prakash Jena; Sabyasachi Pramanik; Ahmed A. Elngar	2022	Routledge
Machine Learning Paradigms: Artificial Immune Systems and their Applications in Software Personalization	Dionisios N. Sotiropoulos; George A. Tsihrintzis	1st ed. 2017	Springer International Publishing
Ensemble Machine Learning: Methods and Applications	Cha Zhang; Yunqian Ma	2012	Springer New York
Data Mining and Machine Learning Applications	Kapil Kumar Nagwanshi; Rohit Raja; Sandeep Kumar; K. Ramya Laxmi	2022	John Wiley & Sons
Implementations and Applications of Machine Learning	Saad Subair; Christopher Thron	1st ed. 2020	Springer International Publishing
Machine Learning in Radiation Oncology: Theory and Applications	Issam El Naqa; Ruijiang Li; Martin J. Murphy	2015	Springer International Publishing
Machine Learning in Clinical Neuroscience: Foundations and Applications	Victor E. Staartjes; Luca Regli; Carlo Serra	1st ed. 2022	Springer International Publishing
Machine Learning in Healthcare: Fundamentals and Recent Applications	Bikesh Kumar Singh; G.R. Sinha	2022	Routledge
Swarm Intelligence and Machine Learning: Applications in Healthcare	Manish Gupta (editor), Jitendra Agrawal (editor), Dac-Nhuong Le (editor), Shikha Agarwal (editor)	2022	CRC Press
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Boosting Unsupervised Competitive Learning Ensembles	Emilio Corchado; Bruno Baruque; Hujun Yin	Artificial Neural Networks - ICANN 2007: 17th International Conference, Porto, Portugal, September 9-13, 2007, Proceedings, Part I	Joaquim Marques de Sá; Luis A. Alexandre; Wlodzislaw Duch; Danilo Mandic	2007	Springer Berlin Heidelberg
NN Ensembles and Their Applications	Vladimir M. Krasnopolsky	The Application of Neural Networks in the Earth System Sciences: Neural Networks Emulations for Complex Multidimensional Mappings	Vladimir M. Krasnopolsky	2013	Springer Netherlands
Understanding boosting ensembles		MACHINE LEARNING FOR OPENCV 4: intelligent algorithms for building image processing apps. . . using opencv 4, python, and scikit-learn, 2nd edit.	ADITYA SHRIMALI VISHWESH RAVI BEYELER MICHAEL SHARMA	2019	PACKT PUBLISHING LIMITED
Modern machine learning techniques and their applications	Mirjana Ivanović; Miloš Radovanovic	Electronics, Communications and Networks IV: Proceedings of the 4th International Conference on Electronics, Communications and Networks (CECNET IV), Beijing, China, 12-15 December 2014	Amir Hussain; Mirjana Ivanovic	2015	Routledge
Boosting and Other Machine Learning Algorithms	Harris Drucker; Corinna Cortes; L.D. Jackel; Yann LeCun; Vladimir Vapnik	Machine Learning Proceedings 1994	William W. Cohen	1994	Morgan Kaufmann
Applications in Machine Learning		Data Science for Modern Manufacturing	Li Ping Chu	2016	O'Reilly
Applications in Machine Learning		Particle Swarm Optimization and Intelligence: Advances and Applications (Premier Reference Source)	Konstantinos E. Parsopoulos, Michael N. Vrahatis	2010	Information Science Publishing
212 Machine Learning Boosting eCommerce		Artificial Intelligence Driven by Machine Learning and Deep Learning	Bahman Zohuri, Siamak Zadeh	2020	Nova Science Pub Inc
Advances in Machine Learning and Deep Learning Algorithms and Their Applications	Kiran Maka; Lakshmi Maka; S. Pazhanirajan	Cognitive Informatics and Soft Computing: Proceeding of CISC 2020	Pradeep Kumar Mallick; Akash Kumar Bhoi; Gonçalo Marques; Victor Hugo C. de Albuquerque	1st ed. 2021	Springer Nature Singapore
EEG-Based Machine Learning: Theory and Applications	Reza Shoorangiz; Stephen J. Weddell; Richard D. Jones	Handbook of Neuroengineering	Nitish V. Thakor	0th ed. 2020	Springer Nature Singapore
Machine Learning and Applications	Wengang Zhang; Yanmei Zhang; Xin Gu; Chongzhi Wu; Liang Han	Application of Soft Computing, Machine Learning, Deep Learning and Optimizations in Geoengineering and Geoscience	Wengang Zhang; Yanmei Zhang; Xin Gu; Chongzhi Wu; Liang Han	1st ed. 2022	Springer Nature Singapore
Section 2: Applications-Based Machine Learning		Handbook of Research on Machine Learning Innovations and Trends	Aboul Ella Hassanien (editor), Tarek Gaber (editor)	2017	Information Science Reference
Detection Based on Machine Learning Applications		Pattern Recognition: Analysis and Applications	S. Ramakrishnan	2016	ExLi4EvA
Machine Learning Applications	Piero P. Bonissone	Springer Handbook of Computational Intelligence	Janusz Kacprzyk; Witold Pedrycz	2015	Springer Berlin Heidelberg
Machine Learning Applications		Machine Learning and its Applications	Peter Wlodarczak	2019	Routledge
Machine Learning Applications	Peter Wlodarczak	Machine Learning and its Applications	Peter Wlodarczak	2019	Routledge
Machine learning applications		Mastering Java Machine Learning	Kamath, Dr Uday	2017	Packt Publishing
Machine learning applications		Python Machine Learning By Example	Yuxi Liu	2020	Packt Publishing, Limited
Machine Learning Applications		Machine Learning Applications in Electromagnetics and Antenna Array Processing	Manel Martínez-ramón, Arjun Gupta, José Luis Rojo-álvarez, Christos Christodoulou	2021	Artech House
Machine Learning Applications		A First Course in Artificial Intelligence	Osondu Oguike	2021	Bentham Science Publishers
Chapter	Author(s)	Book	Book Authors	Year	Publisher

Showing 1 to 20 of 100 entries

"Boosting Based Multiclass Ensembles and Their Applications in Machine Learning" - similar Books and Chapters