"Integration of Machine Learning and Optimization for Robot Learning"

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Book	Author(s)	Year	Publisher
Optimization and Machine Learning - Optimizationfor Machine Learning and Machine Learning for Optimization	Rachid Chelouah; Patrick Siarry	2022	John Wiley & Sons
Optimization for Machine Learning	Suvrit Sra; Sebastian Nowozin; Stephen J. Wright	2011	MIT Press,
Machine Learning and Robot Perception	Mario Mata, Jose Maria Armingol (auth.), Professor Bruno Apolloni, Professor Ashish Ghosh, Professor Ferda Alpaslan, Professor Lakhmi C. Jain, Professor Srikanta Patnaik (eds.)	2005	Springer-Verlag Berlin Heidelberg
Machine Learning and Robot Perception	Bruno Apolloni; Ashish Ghosh; Ferda Alpaslan; Lakhmi Jain; Srikanta Patnaik	2005	Springer Berlin Heidelberg
Machine Learning and Optimization Models for Optimization in Cloud	Punit Gupta; Mayank Kumar Goyal; Sudeshna Chakraborty; Ahmed A Elngar	2022	Routledge
Machine Learning of Robot Assembly Plans	Alberto Maria Segre	1988	Springer US
Recent Advances in Robot Learning: Machine Learning	Judy A. Franklin; Tom M. Mitchell; Sebastian Thrun	1996	Springer US
Stochastic Optimization for Large-scale Machine Learning	Vinod Kumar Chauhan	2021	Routledge
Optimization in Machine Learning and Applications	Anand J. Kulkarni; Suresh Chandra Satapathy	1st ed. 2020	Springer Nature Singapore
Distributed Machine Learning and Gradient Optimization	Jiawei Jiang; Bin Cui; Ce Zhang	1st ed. 2022	Springer Nature Singapore
Linear Algebra and Optimization for Machine Learning: A Textbook	Charu C. Aggarwal	1st ed. 2020	Springer International Publishing
First-order and Stochastic Optimization Methods for Machine Learning	Guanghui Lan	1st ed. 2020	Springer International Publishing
Machine Learning for Solar Array Monitoring, Optimization, and Control	Sunil Rao; Sameeksha Katoch; Vivek Narayanaswamy; Gowtham Muniraju; Cihan Tepedelenlioglu; Andreas Spanias		Springer International Publishing
Accelerated Optimization for Machine Learning: First-Order Algorithms	Zhouchen Lin; Huan Li; Cong Fang	1st ed. 2020	Springer Nature Singapore
Handbook of Machine Learning for Computational Optimization: Applications and Case Studies	Vishal Jain; Sapna Juneja; Abhinav Juneja; Ramani Kannan	2021	Routledge
Multidimensional Particle Swarm Optimization for Machine Learning and Pattern Recognition	Gabbouj, Moncef.; Ince, Turker.; Kiranyaz, Serkan	2014	Springer Berlin Heidelberg : Imprint: Springer
Multidimensional Particle Swarm Optimization for Machine Learning and Pattern Recognition	Serkan Kiranyaz, Turker Ince, Moncef Gabbouj	2013	Springer
Multidimensional Particle Swarm Optimization for Machine Learning and Pattern Recognition	Serkan Kiranyaz, Turker Ince, Moncef Gabbouj (auth.)	2014	Springer-Verlag Berlin Heidelberg
Multidimensional Particle Swarm Optimization for Machine Learning and Pattern Recognition	Serkan Kiranyaz; Turker Ince; Moncef Gabbouj	2014	Springer Berlin Heidelberg
Hyperparameter Optimization in Machine Learning: Make Your Machine Learning and Deep Learning Models More Efficient	Tanay Agrawal	1st ed.	Apress
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Integration of Machine Learning and Optimization for Robot Learning	Amir Mosavi; Annamaria R. Varkonyi-Koczy	Recent Global Research and Education: Technological Challenges: Proceedings of the 15th International Conference on Global Research and Education Inter-Academia 2016	Ryszard Jabłoński; Roman Szewczyk	1st ed. 2017	Springer International Publishing
CUDA for Machine Learning and Optimization		CUDA Application Design and Development	Rob Farber	2012	Morgan Kaufmann
Integration of Machine Learning and Optimization Techniques for Cardiac Health Recognition	Essam Halim Houssein; Ibrahim E. Ibrahim; M. Hassaballah; Yaser M. Wazery	Integrating Meta-Heuristics and Machine Learning for Real-World Optimization Problems	Essam Halim Houssein; Mohamed Abd Elaziz; Diego Oliva; Laith Abualigah	1st ed. 2022	Springer International Publishing
Optimization Techniques for Machine Learning	Souad Taleb Zouggar; Abdelkader Adla	Optimization in Machine Learning and Applications	Anand J. Kulkarni; Suresh Chandra Satapathy	1st ed. 2020	Springer Nature Singapore
Bilevel Optimization and Machine Learning	Kristin P. Bennett; Gautam Kunapuli; Jing Hu; Jong-Shi Pang	Computational Intelligence: Research Frontiers: IEEE World Congress on Computational Intelligence, WCCI 2008, Hong Kong, China, June 1-6, 2008, Plenary/Invited Lectures	Jacek M. Zurada; Gary G. Yen; Jun Wang	2008	Springer Berlin Heidelberg
Machine Learning, Regression and Optimization	Biswa Nath Datta; Biswajit Sahoo	Data Science and SDGs: Challenges, Opportunities and Realities	Bikas Kumar Sinha; Md. Nurul Haque Mollah	1st ed. 2021	Springer Nature Singapore
Introduction: Machine Learning for Intelligent Optimization	Roberto Battiti; Franco Mascia; Mauro Brunato	Reactive Search and Intelligent Optimization	Roberto Battiti; Mauro Brunato; Franco Mascia	2009	Springer US
3. Quantum optimization for machine learning	Ashish Mani; Siddhartha Bhattacharyya; Amlan Chatterjee	Quantum Machine Learning	Siddhartha Bhattacharyya; Indrajit Pan; Ashish Mani; Sourav De; Elizabeth Behrman; Susanta Chakraborti	2020	De Gruyter
Optimization for Machine Learning: Gradient Descent	Ekaba Bisong	Building Machine Learning and Deep Learning Models on Google Cloud Platform: A Comprehensive Guide for Beginners	Ekaba Bisong	1st ed.	Apress
Parallel Optimization Techniques for Machine Learning	Sudhir Kylasa; Chih-Hao Fang; Fred Roosta; Ananth Grama	Parallel Algorithms in Computational Science and Engineering	Ananth Grama; Ahmed H. Sameh	1st ed. 2020	Springer International Publishing
Optimization Networks for Integrated Machine Learning	Michael Kommenda; Johannes Karder; Andreas Beham; Bogdan Burlacu; Gabriel Kronberger; Stefan Wagner et al.	Computer Aided Systems Theory – EUROCAST 2017: 16th International Conference, Las Palmas de Gran Canaria, Spain, February 19-24, 2017, Revised Selected Papers, Part I	Roberto Moreno-Díaz; Franz Pichler; Alexis Quesada-Arencibia	1st ed. 2018	Springer International Publishing
Comparison of Machine Learning for Autonomous Robot Discovery	Ivan Bratko	Advances in Machine Learning I: Dedicated to the Memory of Professor Ryszard S. Michalski	Jacek Koronacki; Zbigniew W. Ras; Slawomir T. Wierzchon	2010	Springer Berlin Heidelberg
Machine learning for design and optimization of photonic devices	Keisuke Kojima; Toshiaki Koike-Akino; Yingheng Tang; Ye Wang; Matthew Brand	Machine Learning for Future Fiber-Optic Communication Systems	Alan Lau andFaisal Khan	2022	Academic Press
A Review of Optimization and Machine Learning	Taweh Beysolow II	Introduction to Deep Learning Using R: A Step-by-Step Guide to Learning and Implementing Deep Learning Models Using R	Taweh Beysolow II	1st ed.	Apress
Algorithms for Optimization and Machine Learning over Cloud	Ratnik Gandhi; Mehul S Raval	Nature-Inspired Computation in Data Mining and Machine Learning	Xin-She Yang; Xing-Shi He	1st ed. 2020	Springer International Publishing
Statistical Machine Learning and Combinatorial Optimization	A. Berny	Theoretical Aspects of Evolutionary Computing	Leila Kallel; Bart Naudts; Alex Rogers	2001	Springer Berlin Heidelberg
Machine Learning and Trade Schedule Optimization	Robert L. Kissell	Algorithmic Trading Methods (Second Edition)	Robert Kissell	2020	Academic Press
11 - Mathematics, Optimization and Machine Learning		Mathematics for Future Computing and Communications	Liao Heng; Bill McColl	2021-12	Cambridge University Press
Machine learning training and hyperparameter optimization		Engineering MLOps: Rapidly build, test, and manage production-ready machine learning life cycles at scale	Emmanuel Raj	2021	Packt Publishing
Automated Machine Learning and Bayesian Optimization	Francesco Archetti; Antonio Candelieri	Bayesian Optimization and Data Science	Francesco Archetti; Antonio Candelieri	1st ed. 2019	Springer International Publishing
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