"Information theory, inference, and learning algorithms"

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Book	Author(s)	Year	Publisher
Information Theory, Inference & Learning Algorithms	David J.C. MacKay	2003	Cambridge University Press
Information theory, inference, and learning algorithms	MacKay D J C		Cambridge University Press
信息论、推理与学习算法（Information Theory, Inference and Learning Algorithms）	David J.C. MacKay	2006	高等教育出版社
Elements of Causal Inference. Foundations and Learning Algorithms	Jonas Peters, Dominik Janzing, Bernhard Scholkopf	2017	The MIT Press
Learning Algorithms Theory and Applications: Theory and Applications	S. Lakshmivarahan	1981	Springer New York
Learning Kernel Classifiers: Theory and Algorithms	Ralf Herbrich	2001	MIT Press
Learning Kernel Classifiers: Theory and Algorithms	Ralf Herbrich	2001	MIT Press,
Learning kernel classifiers: theory and algorithms /	Herbrich, Ralf.	[2002], ©2002.	MIT Press,
Information and Inference	Jaakko Hintikka; Patrick Suppes	1970	Springer Netherlands
Information and inference.	Jaakko Hintikka	1970	Reidel
Information Theory and Statistical Learning	Frank Emmert-Streib; Matthias Dehmer	2009	Springer US
Grammatical Inference: Algorithms, Routines and Applications	Wojciech Wieczorek	1st ed. 2017	Springer International Publishing
Information, inference and decision	Günter Menges	1974	Reidel
Information, Inference and Decision	Günter Menges	1974	Springer Netherlands
Selected Works III: Information Theory and the Theory of Algorithms	Andrei N. Kolmogorov; Albert N. Shiryaev	1993	Springer Netherlands
Understanding Machine Learning: From Theory to Algorithms	Shai Shalev-Shwartz; Shai Ben-David	2014-05	Cambridge University Press
Statistical Theory and Inference	David J. Olive	2014	Springer International Publishing
Online Learning: Theory, Algorithms, and Applications - Ph. D thesis	Shai Shalev-Shwartz
Learning by inductive inference	Ryszard Stanisaw Michalski	1974	Dept. of Computer Sciences, University of Illinois at Urbana-Champaign
Statistical Inference: Theory and Practice	Tadeusz Bromek; Elzbieta Pleszczynska	1991	Springer Netherlands
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Learning Algorithms — theory and practice	Norman L. Biggs	Neural Network Applications: Proceedings of the Second British Neural Network Society Meeting (NCM91), London, October 1991	J. G. Taylor	1992	Springer London
Dictionary Learning: Theory and Algorithms	Jayaraman J. Tiagarajan; Karthikeyan Natesan Ramamurthy; Pavan Turaga; Andreas Spanias	Image Understanding using Sparse Representations	Jayaraman J. Thiagarajan; Karthikeyan Natesan Ramamurthy; Pavan Turaga; Andreas Spanias		Springer International Publishing
Algorithms, functions and inference		Flexible Regression and Smoothing: Using GAMLSS in R	Mikis D. Stasinopoulos; Robert A. Rigby; Gillian Z. Heller; Vlasios Voudouris; Fernanda De Bastiani	2017	Routledge
1 - Algorithms and Inference		Computer Age Statistical Inference: Algorithms, Evidence, and Data Science	Bradley Efron; Trevor Hastie	2016-07	Cambridge University Press
Information Theory and Learning Theories		Learning theory, instructional theory, and psychoeducational design	Glenn E. Snelbecker	1974	McGraw-Hill
1073 Inference Algorithms and Applications for Reinforcement Learning		Artificial Intelligence: Structures and Strategies for Complex Problem Solving (5th Edition)	George F Luger	2005	Pearson Education Limited
Learning and Inference	Amarnag Subramanya; Partha Pratim Talukdar	Graph-Based Semi-Supervised Learning	Amarnag Subramanya; Partha Pratim Talukdar		Springer International Publishing
Learning and Inference		Graph-Based Semi-Supervised Learning	Amarnag Subramanya, Partha Pratim Talukdar	2014	Morgan & Claypool Publishers
7032 Inference Algorithms		Computer science handbook	Allen B. Tucker	2004	Chapman & Hall/CRC
Learning & Inference		Graph-Based Semi-Supervised Learning	Amarnag Subramanya, Partha Pratim Talukdar	2014	Morgan & Claypool Publishers
Algorithms and Information		Future Politics: Living Together in a World Transformed by Tech	Jamie Susskind	2018	Oxford University Press
Inference Theory		Fundamentals of Statistics and Probability Theory: A Tutorial Approach vol 2. Statistics	Howard Dachslager	2018	CreateSpace
APPENDIX C: INFORMATION THEORY AND LEARNING		Introduction to Urban Science: Evidence and Theory of Cities as Complex Systems	Luís M. A. Bettencourt	2021	The MIT Press
Information Geometry and Information Theory in Machine Learning	Kazushi Ikeda; Kazunori Iwata	Neural Information Processing: 14th International Confernce, ICONIP 2007, Kitakyushu, Japan, November 13-16, 2007, Revised Selected Papers, Part II	Masumi Ishikawa; Kenji Doya; Hiroyuki Miyamoto; Takeshi Yamakawa	2008	Springer Berlin Heidelberg
Robust Inference and Local Algorithms	Yishay Mansour	Mathematical Foundations of Computer Science 2015: 40th International Symposium, MFCS 2015, Milan, Italy, August 24-28, 2015, Proceedings, Part I	Giuseppe F Italiano; Giovanni Pighizzini; Donald T. Sannella	1st ed. 2015	Springer Berlin Heidelberg
Genetic algorithms and grammatical inference	Hari Mohan Pandey	State of the Art on Grammatical Inference Using Evolutionary Method	Hari Pandey	2022	Academic Press
Haplotype Inference Models and Algorithms	Ling-Yun Wu	Algorithms in Computational Molecular Biology: Techniques, Approaches and Applications	Mourad Elloumi	2011	John Wiley & Sons
Asymptotic inference and information		From Statistical Physics to Data-Driven Modelling: with Applications to Quantitative Biology	Simona Cocco; Rémi Monasson; Francesco Zamponi	2022	Oxford University Press
5 - Information and inference		Decisions and Revisions: Philosophical Essays on Knowledge and Value	Isaac Levi	1984-11	Cambridge University Press
Inference and Information Integration		Reinforcement and Systemic Machine Learning for Decision Making	Parag Kulkarni	2012	Wiley-IEEE Press
Chapter	Author(s)	Book	Book Authors	Year	Publisher

Showing 1 to 20 of 100 entries

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