"Statistical Reinforcement Learning: Modern Machine Learning Approaches"

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Book	Author(s)	Year	Publisher
Statistical Reinforcement Learning: Modern Machine Learning Approaches	Masashi Sugiyama	2015	Routledge
Statistical and Machine Learning Approaches for Network Analysis	Matthias Dehmer; Subhash C. Basak	2012	John Wiley & Sons
Machine Learning and Statistical Modeling Approaches to Image Retrieval	Yixin Chen; Jia Li; James Z. Wang	2004	Springer US
Multi-Agent Machine Learning: A Reinforcement Approach	Howard M. Schwartz	2014	John Wiley & Sons
Reinforcement and Systemic Machine Learning for Decision Making	Parag Kulkarni	2012	Wiley-IEEE Press
Introduction to Statistical Machine Learning	Masashi Sugiyama	2016	Morgan Kaufmann
Statistical Methods for Machine Learning	Jason Brownlee	0
Machine learning approaches to bioinformatics	Yang Z.R.	2010	WS
Reinforcement Learning	Richard S. Sutton	1992	Springer US
Reinforcement Learning	Sutton, Barto	2018
Modern Approaches in Machine Learning & Cognitive Science: A Walkthrough	Vinit Kumar Gunjan; Jacek M. Zurada	1st ed. 2022	Springer International Publishing
Statistical Machine Learning: A Unified Framework	Richard Golden	2020	Routledge
Machine learning, neural and statistical classification /	Michie, Donald.; Spiegelhalter, D. J.; Taylor, C. C.,	1994.	Prentice Hall,
Machine Learning Approaches for Urban Computing	Mainak Bandyopadhyay; Minakhi Rout; Suresh Chandra Satapathy	1st ed. 2021	Springer Nature Singapore
Dynamics On and Of Complex Networks III: Machine Learning and Statistical Physics Approaches	Fakhteh Ghanbarnejad; Rishiraj Saha Roy; Fariba Karimi; Jean-Charles Delvenne; Bivas Mitra	1st ed. 2019	Springer International Publishing
Deep Reinforcement Learning	Aske Plaat	1st ed. 2022	Springer Nature Singapore
Learning and Reinforcement	Stephen F. Walker	1975	Methuen
Practical Reinforcement Learning	Farrukh Akhtar	2017	Packt Publishing
Learning: reinforcement theory	Fred Simmons Keller
Machine Learning Approaches in Cyber Security Analytics	Tony Thomas; Athira P. Vijayaraghavan; Sabu Emmanuel	1st ed. 2020	Springer Nature Singapore
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Showing 1 to 20 of 100 entries

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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Statistical Reinforcement Learning	Bibhas Chakraborty; Erica E. M. Moodie	Statistical Methods for Dynamic Treatment Regimes: Reinforcement Learning, Causal Inference, and Personalized Medicine	Bibhas Chakraborty; Erica E.M. Moodie	2013	Springer New York
Reinforcement Machine Learning		Python Machine Learning. A Crash Course for Beginners to Understand Machine learning, Artificial Intelligence, Neural Networks, and Deep Learning with Scikit-Learn, TensorFlow, and Keras.	Josh Hugh Learning	2019
Statistical Machine Learning	Masashi Sugiyama	Introduction to Statistical Machine Learning	Masashi Sugiyama	2016	Morgan Kaufmann
Statistical (Machine) Learning	Andrew F. Siegel; Michael R. Wagner	Practical Business Statistics(Eighth Edition)	Andrew Siegel andMichael Wagner	2022	Academic Press
Statistical machine learning		Practical statistics for data scientists: 50 essential concepts /	Bruce, Peter C.,; Bruce, Andrew,		O'Reilly Media, Inc.
Statistical machine learning		Machine Learning for Signal Processing: Data Science, Algorithms, and Computational Statistics	Max A. Little	2019	Oxford University Press
Machine Learning and Reinforcement Learning	M. van Someren; S. ten Hagen	Do Smart Adaptive Systems Exist?: Best Practice for Selection and Combination of Intelligent Methods	Bogdan Gabrys; Kauko Leiviskä; Jens Strackeljan	2005	Springer Berlin Heidelberg
Statistical Learning Approaches	Ching-Chi Yang; Lih-Yuan Deng	Dimensionality Reduction in Data Science	Max Garzon; Ching-Chi Yang; Deepak Venugopal; Nirman Kumar; Kalidas Jana; Lih-Yuan Deng	1st ed. 2022	Springer International Publishing
Statistical learning approaches		Machine Learning Algorithms	Bonaccorso, Giuseppe	2017	Packt Publishing
Reinforcement and Deep Reinforcement Machine Learning	Parag Kulkarni	Reverse Hypothesis Machine Learning: A Practitioner' s Perspective	Parag Kulkarni	1st ed. 2017	Springer International Publishing
Approaches to reinforcement learning		Python Machine Learning By Example	Yuxi Liu	2020	Packt Publishing, Limited
Machine Learning Approaches	Walter Daelemans	Syntactic Wordclass Tagging	H. van Halteren	1999	Springer Netherlands
Machine Learning Approaches	Deepak Venugopal; Max Garzon	Dimensionality Reduction in Data Science	Max Garzon; Ching-Chi Yang; Deepak Venugopal; Nirman Kumar; Kalidas Jana; Lih-Yuan Deng	1st ed. 2022	Springer International Publishing
Machine learning approaches		Machine Learning Theory to Applications: Theory to Applications	Seyedeh Leili Mirtaheri, Reza Shahbazian	2022	CRC Press
Machine Learning Approaches		Latent Semantic Mapping: Principles And Applications (Synthesis Lectures on Speech and Audio Processing)	Jerome R. Bellegarda	2008	Morgan & Claypool Publishers
Machine Learning Approaches		Bioinformatics: Proceedings of the 4th Asia-Pacific Conference, Taipei, Taiwan 13-16 February, 2006 (Series on Advances in Bioinformatics and Computational Biology)	Tao Jiang, Ueng-Cheng Yang, Yi-Ping Phoebe Chen, Limsoon Wong	2006	Imperial College Press
Chapter 4: Machine Learning Approaches for Bangla Statistical Machine Translation		Technical Challenges and Design Issues in Bangla Language Processing	M. A. Karim (editor), Mohammad Kaykobad (editor), Manzur Murshed (editor)	2013	IGI Global
Machine Learning and Statistical Approaches for Plant Phenotyping	Zheng Xu; Cong Wu	Intelligent Image Analysis for Plant Phenotyping	Ashok Samal; Sruti Das Choudhury	2020	Routledge
Modeling International Negotiation Statistical and Machine Learning Approaches	Daniel Druckman; Richard Harris; Johannes Fürnkranz	Programming for Peace: Computer-Aided Methods for International Conflict Resolution and Prevention	Robert Trappl	2006	Springer Netherlands
Statistical and Machine Learning Approaches in Credit Scoring	Fariba Jafar-Shaghaghi	Operations Research ’92: Extended Abstracts of the 17th Symposium on Operations Research held at the Universität der Bundeswehr Hamburg at August 25–28, 1992	Alexander Karmann; Karl Mosler; Martin Schader; Goetz Uebe	1st ed. 1993	Physica-Verlag HD
Chapter	Author(s)	Book	Book Authors	Year	Publisher

Showing 1 to 20 of 100 entries

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