Special Issue In Recent Advances In Probabilistic Graphical Models
DOWNLOAD
Download Special Issue In Recent Advances In Probabilistic Graphical Models PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Special Issue In Recent Advances In Probabilistic Graphical Models book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Special Issue In Recent Advances In Probabilistic Graphical Models
DOWNLOAD
Author :
language : en
Publisher:
Release Date : 2015
Special Issue In Recent Advances In Probabilistic Graphical Models written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with categories.
Advances In Probabilistic Graphical Models
DOWNLOAD
Author : Peter Lucas
language : en
Publisher: Springer
Release Date : 2007-06-12
Advances In Probabilistic Graphical Models written by Peter Lucas and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-06-12 with Mathematics categories.
In recent years considerable progress has been made in the area of probabilistic graphical models, in particular Bayesian networks and influence diagrams. Probabilistic graphical models have become mainstream in the area of uncertainty in artificial intelligence; contributions to the area are coming from computer science, mathematics, statistics and engineering. This carefully edited book brings together in one volume some of the most important topics of current research in probabilistic graphical modelling, learning from data and probabilistic inference. This includes topics such as the characterisation of conditional independence, the sensitivity of the underlying probability distribution of a Bayesian network to variation in its parameters, the learning of graphical models with latent variables and extensions to the influence diagram formalism. In addition, attention is given to important application fields of probabilistic graphical models, such as the control of vehicles, bioinformatics and medicine.
Probabilistic Graphical Models For Computer Vision
DOWNLOAD
Author : Qiang Ji
language : en
Publisher: Academic Press
Release Date : 2019-12-13
Probabilistic Graphical Models For Computer Vision written by Qiang Ji and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-13 with Technology & Engineering categories.
Probabilistic Graphical Models for Computer Vision introduces probabilistic graphical models (PGMs) for computer vision problems and teaches how to develop the PGM model from training data. This book discusses PGMs and their significance in the context of solving computer vision problems, giving the basic concepts, definitions and properties. It also provides a comprehensive introduction to well-established theories for different types of PGMs, including both directed and undirected PGMs, such as Bayesian Networks, Markov Networks and their variants.
Ecai 2012
DOWNLOAD
Author : C. Bessiere
language : en
Publisher: IOS Press
Release Date : 2012-08-15
Ecai 2012 written by C. Bessiere and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-08-15 with Computers categories.
Artificial intelligence (AI) plays a vital part in the continued development of computer science and informatics. The AI applications employed in fields such as medicine, economics, linguistics, philosophy, psychology and logical analysis, not forgetting industry, are now indispensable for the effective functioning of a multitude of systems. This book presents the papers from the 20th biennial European Conference on Artificial Intelligence, ECAI 2012, held in Montpellier, France, in August 2012. The ECAI conference remains Europe's principal opportunity for researchers and practitioners of Artificial Intelligence to gather and to discuss the latest trends and challenges in all subfields of AI, as well as to demonstrate innovative applications and uses of advanced AI technology. ECAI 2012 featured four keynote speakers, an extensive workshop program, seven invited tutorials and the new Frontiers of Artificial Intelligence track, in which six invited speakers delivered perspective talks on particularly interesting new research results, directions and trends in Artificial Intelligence or in one of its related fields. The proceedings of PAIS 2012 and the System Demonstrations Track are also included in this volume, which will be of interest to all those wishing to keep abreast of the latest developments in the field of AI.
Advances In Artificial Intelligence
DOWNLOAD
Author : Atefeh Farzindar
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-05-20
Advances In Artificial Intelligence written by Atefeh Farzindar and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-05-20 with Computers categories.
This book constitutes the refereed proceedings of the 23rd Conference on Artificial Intelligence, Canadian AI 2010, held in Ottawa, Canada, in May/June 2010. The 22 revised full papers presented together with 26 revised short papers, 12 papers from the graduate student symposium and the abstracts of 3 keynote presentations were carefully reviewed and selected from 90 submissions. The papers are organized in topical sections on text classification; text summarization and IR; reasoning and e-commerce; probabilistic machine learning; neural networks and swarm optimization; machine learning and data mining; natural language processing; text analytics; reasoning and planning; e-commerce; semantic web; machine learning; and data mining.
Philosophy Of Statistics
DOWNLOAD
Author :
language : en
Publisher: Elsevier
Release Date : 2011-05-31
Philosophy Of Statistics written by and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-05-31 with Philosophy categories.
Statisticians and philosophers of science have many common interests but restricted communication with each other. This volume aims to remedy these shortcomings. It provides state-of-the-art research in the area of philosophy of statistics by encouraging numerous experts to communicate with one another without feeling "restricted by their disciplines or thinking "piecemeal in their treatment of issues. A second goal of this book is to present work in the field without bias toward any particular statistical paradigm. Broadly speaking, the essays in this Handbook are concerned with problems of induction, statistics and probability. For centuries, foundational problems like induction have been among philosophers' favorite topics; recently, however, non-philosophers have increasingly taken a keen interest in these issues. This volume accordingly contains papers by both philosophers and non-philosophers, including scholars from nine academic disciplines. - Provides a bridge between philosophy and current scientific findings - Covers theory and applications - Encourages multi-disciplinary dialogue
Advances In Bayesian Networks
DOWNLOAD
Author : José A. Gámez
language : en
Publisher: Springer
Release Date : 2013-06-29
Advances In Bayesian Networks written by José A. Gámez and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-06-29 with Mathematics categories.
In recent years probabilistic graphical models, especially Bayesian networks and decision graphs, have experienced significant theoretical development within areas such as artificial intelligence and statistics. This carefully edited monograph is a compendium of the most recent advances in the area of probabilistic graphical models such as decision graphs, learning from data and inference. It presents a survey of the state of the art of specific topics of recent interest of Bayesian Networks, including approximate propagation, abductive inferences, decision graphs, and applications of influence. In addition, Advances in Bayesian Networks presents a careful selection of applications of probabilistic graphical models to various fields such as speech recognition, meteorology or information retrieval.
Knowledge Discovery In Inductive Databases
DOWNLOAD
Author : Bart Goethals
language : en
Publisher: Springer Science & Business Media
Release Date : 2005-02-23
Knowledge Discovery In Inductive Databases written by Bart Goethals and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-02-23 with Computers categories.
This book constitutes the thoroughly refereed joint postproceedings of the Third International Workshop on Knowledge Discovery in Inductive Databases, KDID 2004, held in Pisa, Italy in September 2004 in association with ECML/PKDD. Inductive Databases support data mining and the knowledge discovery process in a natural way. In addition to usual data, an inductive database also contains inductive generalizations, like patterns and models extracted from the data. This book presents nine revised full papers selected from 23 submissions during two rounds of reviewing and improvement together with one invited paper. Various current topics in knowledge discovery and data mining in the framework of inductive databases are addressed.
Recent Advances In Reinforcement Learning
DOWNLOAD
Author : Sertan Girgin
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-12
Recent Advances In Reinforcement Learning written by Sertan Girgin and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-12 with Computers categories.
This book constitutes revised and selected papers of the 8th European Workshop on Reinforcement Learning, EWRL 2008, which took place in Villeneuve d'Ascq, France, during June 30 - July 3, 2008. The 21 papers presented were carefully reviewed and selected from 61 submissions. They are dedicated to the field of and current researches in reinforcement learning.
The Probabilistic Mind
DOWNLOAD
Author : Nick Chater
language : en
Publisher: OUP Oxford
Release Date : 2008
The Probabilistic Mind written by Nick Chater and has been published by OUP Oxford this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Philosophy categories.
The Probabilistic Mind is a follow-up to the influential and highly cited Rational Models of Cognition (OUP, 1998). It brings together developmetns in understanding how, and how far, high-level cognitive processes can be understood in rational terms, and particularly using probabilistic Bayesian methods.