This book provides a general framework for learning sparse graphical models with conditional independence tests. It includes complete treatments for Gaussian, Poisson, multinomial, and mixed data; unified treatments for covariate adjustments, data i...Lasīt vairāk
A graphical model is a statistical model that is represented by a graph. The factorization properties underlying graphical models facilitate tractable computation with multivariate distributions, making the models a valuable tool with a plethora o...Lasīt vairāk
We study continuous processes indexed by a special family of graphs. Processes indexed by vertices of graphs are known as probabilistic graphical models. In 2011, Burdzy and Pal proposed a continuous version of graphical models indexed by graphs wit...Lasīt vairāk
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 i...Lasīt vairāk
Explores discrete energy minimization for discrete graphical models. The book considers graphical models, or, more precisely, maximum a posteriori inference for graphical models, purely as a combinatorial optimization problem....Lasīt vairāk
Interactive Graphics for Data Analysis: Principles and Examples discusses exploratory data analysis (EDA) and how interactive graphical methods can help gain insights as well as generate new questions and hypotheses from...Lasīt vairāk
A graphical model is a statistical model that is represented by a graph. The factorization properties underlying graphical models facilitate tractable computation with multivariate distributions, making the models a valuable tool with a plethora o...Lasīt vairāk
For advanced students of network data science, this compact account covers both well-established methodology and the theory of models recently introduced in the graphical model literature. It focuses on the discrete case where all variables involved...Lasīt vairāk
This accessible text/reference provides a general introduction to probabilistic graphical models (PGMs) from an engineering perspective. The book covers the fundamentals for each of the main classes of PGMs, including representation, inference and le...Lasīt vairāk
Sērija : Advances in Computer Vision and Pattern Recognition
(Izdošanas datums: 30-Jun-2015, Hardback, Izdevniecība: Springer London Ltd, ISBN-13: 9781447166986)
Šī grāmata vairs netiek publicēta. Jums tiks paziņota lietotas grāmatas cena
This accessible text/reference provides a general introduction to probabilistic graphical models (PGMs) from an engineering perspective. The book covers the fundamentals for each of the main classes of PGMs, including representation, inference and le...Lasīt vairāk
(Izdošanas datums: 18-Sep-2014, Hardback, Izdevniecība: Oxford University Press, ISBN-13: 9780198709022)
Nowadays bioinformaticians and geneticists are faced with myriad high-throughput data usually presenting the characteristics of uncertainty, high dimensionality and large complexity. These data will only allow insights into this wealth of so-...Lasīt vairāk
Sērija : Synthesis Lectures on Artificial Intelligence and Machine Learning
(Izdošanas datums: 30-Dec-2013, Paperback / softback, Izdevniecība: Morgan and Claypool Life Sciences, ISBN-13: 9781627051972)
Graphical models (e.g., Bayesian and constraint networks, influence diagrams, and Markov decision processes) have become a central paradigm for knowledge representation and reasoning in both artificial intelligence and computer science in general. Th...Lasīt vairāk
This book constitutes the refereed proceedings of the 7th International Workshop on Probabilistic Graphical Models, PGM 2014, held in Utrecht, The Netherlands, in September 2014. The 38 revised full papers presented in this book were carefully review...Lasīt vairāk
(Izdošanas datums: 11-Dec-2012, Hardback, Izdevniecība: Springer-Verlag New York Inc., ISBN-13: 9781461453284)
This book is devoted to the graphics of patient data: good graphs enabling straight¬forward and intuitive interpretation, efficient creation, and straightforward interpretation. We focus on easy access to graphics of patient data: the intention is...Lasīt vairāk
John C. Gower, Sugnet Gardner Lubbe, Niel J. Le Roux
(Izdošanas datums: 24-Dec-2010, Hardback, Izdevniecība: John Wiley & Sons Inc, ISBN-13: 9780470012550)
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Biplots are a graphical method for simultaneously displaying two kinds of information; typically, the variables and sample units described by a multivariate data matrix or the items labelling the rows and columns of a two-way table. This book aims to...Lasīt vairāk
(Izdošanas datums: 05-Aug-2009, Paperback / softback, Izdevniecība: Springer-Verlag New York Inc., ISBN-13: 9781441900517)
R, a free and open source program, is one of the most powerful and the fastest-growing statistics program. Microsoft Excel is the most widely used spreadsheet program, but many statisticians consider its statistical tools too limited.In this book, th...Lasīt vairāk
Sērija : Adaptive Computation and Machine Learning series
(Izdošanas datums: 31-Jul-2009, Hardback, Izdevniecība: MIT Press, ISBN-13: 9780262013192)
A general framework for constructing and using probabilistic models of complex systems that would enable a computer to use available information for making decisions. Most tasks require a person or an automated system to reason—to reach...Lasīt vairāk
This graphical data analysis textbook is designed for computer science students who need to become proficient in using variable datasets in interactive settings. Theus (computational statistics and data analysis, Augsburg U., Germany) and Urbanek (st...Lasīt vairāk
(Izdošanas datums: 06-Feb-2002, Hardback, Izdevniecība: John Wiley & Sons Inc, ISBN-13: 9780470843376)
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Aimed at researchers as well as graduate students in applied statistics, computer science, and engineering, this text provides an introduction to the use of graphical models for data analysis and data mining. Topics include, for example, conditional...Lasīt vairāk
Graphical models, a marriage between probability theory and graph theory, provide anatural tool for dealing with two problems that occur throughout applied mathematics and engineering-- uncertainty and complexity. In particular, they play an incre...Lasīt vairāk
