Via A Simbolic
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Symbolic And Quantitative Approaches To Reasoning With Uncertainty
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Author : Thomas D. Nielsen
language : en
Publisher: Springer
Release Date : 2004-04-07
Symbolic And Quantitative Approaches To Reasoning With Uncertainty written by Thomas D. Nielsen and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-04-07 with Computers categories.
The refereed proceedings of the 7th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, ECSQARU 2003, held in Aalborg, Denmark in July 2003. The 47 revised full papers presented together with 2 invited survey articles were carefully reviewed and selected for inclusion in the book. The papers are organized in topical sections on foundations of uncertainty concepts, Bayesian networks, algorithms for uncertainty inference, learning, decision graphs, belief functions, fuzzy sets, possibility theory, default reasoning, belief revision and inconsistency handling, logics, and tools.
Symbolic And Quantitative Approaches To Reasoning With Uncertainty
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Author : Khaled Mellouli
language : en
Publisher: Springer
Release Date : 2007-09-14
Symbolic And Quantitative Approaches To Reasoning With Uncertainty written by Khaled Mellouli and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-09-14 with Computers categories.
This book constitutes the refereed proceedings of the 9th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, ECSQARU 2007. Coverage in the 78 revised full papers, presented together with three invited papers, includes Bayesian networks, graphical models, learning causal networks, planning, causality and independence, preference modeling and decision, argumentation systems, inconsistency handling, and uncertainty measures.
Improving Program Testing And Understanding Via Symbolic Execution
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Author : Kin Keung Ma
language : en
Publisher:
Release Date : 2011
Improving Program Testing And Understanding Via Symbolic Execution written by Kin Keung Ma and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with categories.
Symbolic Interactionism
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Author : Herbert Blumer
language : en
Publisher: Univ of California Press
Release Date : 1986
Symbolic Interactionism written by Herbert Blumer and has been published by Univ of California Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1986 with Political Science categories.
This is a collection of articles dealing with the point of view of symbolic interactionism and with the topic of methodology in the discipline of sociology. It is written by the leading figure in the school of symbolic interactionism, and presents what might be regarded as the most authoritative statement of its point of view, outlining its fundamental premises and sketching their implications for sociological study. Blumer states that symbolic interactionism rests on three premises: that human beings act toward things on the basis of the meanings of things have for them; that the meaning of such things derives from the social interaction one has with one's fellows; and that these meanings are handled in, and modified through, an interpretive process.
Symbolic Logic And Logic Processing
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Author : Bindu Bansal
language : en
Publisher: Laxmi Publications
Release Date : 2012-05
Symbolic Logic And Logic Processing written by Bindu Bansal and has been published by Laxmi Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-05 with categories.
Symbolic Computation
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Author : Robert Grossman
language : en
Publisher: SIAM
Release Date : 1989-01-01
Symbolic Computation written by Robert Grossman and has been published by SIAM this book supported file pdf, txt, epub, kindle and other format this book has been release on 1989-01-01 with Technology & Engineering categories.
This is a monograph that describes current research efforts in the application of symbolic computation to several areas, including dynamical systems, differential geometry, Lie algebras, numerical analysis, fluid dynamics, perturbation theory, control theory, and mechanics. The chapters, which illustrate how symbolic computations can be used to study various mathematical structures, are outgrowths of the invited talks that were presented at the NASA-Ames Workshop on The Use of Symbolic Methods to Solve Algebraic and Geometric Problems Arising in Engineering. More than 100 people participated in the two-day conference, which took place in January 1987 at the NASA-Ames Research Center in Moffett Field, California. The field of symbolic computation is becoming increasingly important in science, engineering, and mathematics. The availability of powerful computer algebra systems on workstations has made symbolic computation an important tool for many researchers.
An Introduction To Symbolic Dynamics And Coding
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Author : Douglas Lind
language : en
Publisher: Cambridge University Press
Release Date : 2021-01-21
An Introduction To Symbolic Dynamics And Coding written by Douglas Lind and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-01-21 with Language Arts & Disciplines categories.
Elementary introduction to symbolic dynamics, updated to describe the main advances in the subject since the original publication in 1995.
Formal Methods For Components And Objects
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Author : Bernhard K. Aichernig
language : en
Publisher: Springer
Release Date : 2011-12-16
Formal Methods For Components And Objects written by Bernhard K. Aichernig and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-12-16 with Computers categories.
The focus in development methodologies of large and complex software systems has switched in the last two decades from functional issues to structural issues; this holds for both the object-oriented and the more recent component-based software engineering paradigms. Formal methods have been applied successfully to the verification of medium-sized programs in protocol and hardware design for quite a long time. However, their application to the development of large systems requires more emphasis on specification, modeling and validation techniques supporting the concepts of reusability and modifiability, and their implementation in new extensions of existing programming languages like Java. This state-of-the-art survey presents the outcome of the 9th Symposium on Formal Methods for Components and Objects, held in Graz, Austria, in November/December 2010. The volume contains 20 revised contributions submitted after the symposium by speakers from each of the following European IST projects: the FP7-IST project AVANTSSAR on automated validation of trust and security of service-oriented architectures; the FP7-IST project DEPLOY on industrial deployment of advanced system engineering methods for high productivity and dependability; the ESF-COST Action IC0701 on formal verification of object-oriented software; the FP7-IST project HATS on highly adaptable and trustworthy software using formal models; the FP7-SST project INESS on an integrated European railway signalling system; the FP7-IST project MADES on a model-driven approach to improve the current practice in the development of embedded systems; the FP7-IST project MOGENTES on model-based generation of tests for dependable embedded systems; as well as the FP7-IST project MULTIFORM on integrated multi-formalism tool support for the design of networked embedded control systems.
Symbolic And Quantitative Approaches To Reasoning With Uncertainty
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Author : Gabriele Kern-Isberner
language : en
Publisher: Springer Nature
Release Date : 2019-09-04
Symbolic And Quantitative Approaches To Reasoning With Uncertainty written by Gabriele Kern-Isberner and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-04 with Computers categories.
This book constitutes the refereed proceedings of the 15th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, ECSQARU 2019, held in Belgrade, Serbia, in September 2019. The 41 full papers presented together with 3 abstracts of invited talks inn this volume were carefully reviewed and selected from 62 submissions. The papers are organized in topical sections named: Argumentation; Belief Functions; Conditional, Default and Analogical Reasoning; Learning and Decision Making; Precise and Imprecise Probabilities; and Uncertain Reasoning for Applications.
Symbolic Regression
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Author : Gabriel Kronberger
language : en
Publisher: CRC Press
Release Date : 2024-08-16
Symbolic Regression written by Gabriel Kronberger and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-16 with Computers categories.
Symbolic regression (SR) is one of the most powerful machine learning techniques that produces transparent models, searching the space of mathematical expressions for a model that represents the relationship between the predictors and the dependent variable without the need of taking assumptions about the model structure. Currently, the most prevalent learning algorithms for SR are based on genetic programming (GP), an evolutionary algorithm inspired from the well-known principles of natural selection. This book is an in-depth guide to GP for SR, discussing its advanced techniques, as well as examples of applications in science and engineering. The basic idea of GP is to evolve a population of solution candidates in an iterative, generational manner, by repeated application of selection, crossover, mutation, and replacement, thus allowing the model structure, coefficients, and input variables to be searched simultaneously. Given that explainability and interpretability are key elements for integrating humans into the loop of learning in AI, increasing the capacity for data scientists to understand internal algorithmic processes and their resultant models has beneficial implications for the learning process as a whole. This book represents a practical guide for industry professionals and students across a range of disciplines, particularly data science, engineering, and applied mathematics. Focused on state-of-the-art SR methods and providing ready-to-use recipes, this book is especially appealing to those working with empirical or semi-analytical models in science and engineering.