"Bayesian Programming" - similar Books and Chapters

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Book	Author(s)	Year	Publisher
Bayesian Programming	Pierre Bessiere; Emmanuel Mazer; Juan Ahuactzin; Kamel Mekhnacha	2013	Routledge
Continuity of posterior revision and Bayesian dynamic programming	Mark Feldman	1991	College of Commerce and Business Administration, University of Illinois at Urbana-Champaign
Adaptive Learning of Polynomial Networks: Genetic Programming, Backpropagation and Bayesian Methods	Nikolay Nikolaev; Hitoshi Iba	2006	Springer US
Bayesian Epistemology	Luc Bovens; Stephan Hartmann	2004	Oxford University Press
Bayesian Nonparametrics	J.K. Ghosh; R.V. Ramamoorthi	2003	Springer New York
Bayesian Reliability	Michael S. Hamada; Alyson Wilson; C. Shane Reese; Harry Martz	2008	Springer New York
Bayesian Astrophysics	Andrés Asensio Ramos; Íñigo Arregui	2018-04	Cambridge University Press
Bayesian Nonparametrics	Nils Lid Hjort; Chris Holmes; Peter Müller; Stephen G. Walker	2010-04	Cambridge University Press
Bayesian Biostatistics	Emmanuel Lesaffre	2012	John Wiley & Sons
Bayesian Theory	José M. Bernardo	2000	John Wiley & Sons
Bayesian Compendium	Marcel van Oijen	1st ed. 2020	Springer International Publishing
Bayesian Implementation	T. Palfrey; S. Srivastave	1993	Routledge
Bayesian Implementation	Thomas R. Palfrey	1993	Routledge
Bayesian Biostatistics	Donald A. Berry; Dalene Stangl	1996	Routledge
Bayesian Inference	William A. Link and Richard J. Barker	2010	Academic Press
Bayesian Thinking	D.K. Dey; C.R. Rao	2005	Elsevier
Bayesian Network	Edited by: Ahmed Rebai	2010-08-18	IntechOpen
Bayesian Optimization	Roman Garnett	2021	https://bayesoptbook.com
Bayesian biostatistics /	Berry, Donald A.; Stangl, Dalene K.,	[1996], ©1996.	Marcel Dekker,
Bayesian inference	Nicholas G. Polson	1995	E. Elgar Pub. Co.
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Bayesian Programming Subroutines	Pierre Bessiere; Emmanuel Mazer; Juan Ahuactzin; Kamel Mekhnacha	Bayesian Programming	Pierre Bessiere; Emmanuel Mazer; Juan Ahuactzin; Kamel Mekhnacha	2013	Routledge
Bayesian Programming Iteration	Pierre Bessiere; Emmanuel Mazer; Juan Ahuactzin; Kamel Mekhnacha	Bayesian Programming	Pierre Bessiere; Emmanuel Mazer; Juan Ahuactzin; Kamel Mekhnacha	2013	Routledge
Bayesian Programming Formalism	Pierre Bessiere; Emmanuel Mazer; Juan Ahuactzin; Kamel Mekhnacha	Bayesian Programming	Pierre Bessiere; Emmanuel Mazer; Juan Ahuactzin; Kamel Mekhnacha	2013	Routledge
Bayesian Automatic Programming	Evandro Nunes Regolin; Aurora Trindad Ramirez Pozo	Genetic Programming: 8th European Conference, EuroGP 2005, Lausanne, Switzerland, March 30-April 1, 2005, Proceedings	Maarten Keijzer; Andrea Tettamanzi; Pierre Collet; Jano van Hemert; Marco Tomassini	2005	Springer Berlin Heidelberg
Bayesian Programming and Modelling	João Filipe Ferreira; Jorge Dias	Probabilistic Approaches to Robotic Perception	João Filipe Ferreira; Jorge Miranda Dias	2014	Springer International Publishing
Bayesian Programming Conditional Statement	Pierre Bessiere; Emmanuel Mazer; Juan Ahuactzin; Kamel Mekhnacha	Bayesian Programming	Pierre Bessiere; Emmanuel Mazer; Juan Ahuactzin; Kamel Mekhnacha	2013	Routledge
Bayesian Inductive Logic Programming	Stephen Muggleton	Machine Learning Proceedings 1994	William W. Cohen	1994	Morgan Kaufmann
Bayesian and Gricean programming ⁑		Dercuano	Sitaker, Kragen Javier	2019
Basic Concepts of Bayesian Programming	Pierre Bessière; Olivier Lebeltel	Probabilistic Reasoning and Decision Making in Sensory-Motor Systems	Pierre Bessière; Christian Laugier; Roland Siegwart	2008	Springer Berlin Heidelberg
Part I: Bayesian Programming Principles		Bayesian Programming	Pierre Bessiere; Emmanuel Mazer; Juan Ahuactzin; Kamel Mekhnacha	2013	Routledge
Part II: Bayesian Programming Cookbook		Bayesian Programming	Pierre Bessiere; Emmanuel Mazer; Juan Ahuactzin; Kamel Mekhnacha	2013	Routledge
Bayesian Programming with Coherence Variables	Pierre Bessiere; Emmanuel Mazer; Juan Ahuactzin; Kamel Mekhnacha	Bayesian Programming	Pierre Bessiere; Emmanuel Mazer; Juan Ahuactzin; Kamel Mekhnacha	2013	Routledge
3 PROBABILISTIC PROGRAMMING & BAYESIAN DL		Deep Learning Interviews: Hundreds of fully solved job interview questions from a wide range of key topics in AI.	Shlomo Kashani, Amir Ivry (editor)	2020	Interviews AI
Bayesian inference and probabilistic programming		Machine Learning for Finance: Data algorithms for the markets and deep learning from the ground up for financial experts and economics	Klaas, Jannes	2018;2019	Packt Publishing - ebooks Account
10 Bayesian Inference and Probabilistic Programming		Machine Learning for Finance: The Practical Guide to Using Data-Driven Algorithms in Banking, Insurance, and Investments	Jannes Klaas	2019	Packt Publishing
Simple Form Recognition Using Bayesian Programming		Intelligent Autonomous Systems 9	T. Arai, R. Pfeifer, T. Balch, H. Yokoi	2006	IOS Press
Probabilistic logic programming and Bayesian networks	Liem Ngo; Peter Haddawy	Algorithms, Concurrency and Knowledge: 1995 Asian Computing Science Conference, ACSC ' 95 Pathumthani, Thailand, December 11 - 13, 1995. Proceedings	Kanchana Kanchanasut; Jean-Jacques Levy	1995	Springer Berlin Heidelberg
10 Bayesian Inference and Probabilistic Programming		Machine Learning for Finance	Jannes Klaas	2019	Packt Publishing
Bayesian Logic Programming: Theory and Tool		Introduction to Statistical Relational Learning	Lise Getoor; Ben Taskar	2007	MIT Press
A Bayesian Framework for Robotic Programming	O. Lebeltel, J. Diard and P. Bessiere /[et al.].	Bayesian inference and maximum entropy methods in science and engineering: 20th international workshop, Gif-sur-Yvette, France, 8-13 July 2000 /	Mohammad-Djafari, Ali.	2001.	American Institute of Physics,
Chapter	Author(s)	Book	Book Authors	Year	Publisher

Showing 1 to 20 of 100 entries