Proceedings Of The 8th International Probabilistic Workshop
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Proceedings Of The 8th International Probabilistic Workshop
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Author :
language : en
Publisher: Dirk Proske Verlag
Release Date : 2010
Proceedings Of The 8th International Probabilistic Workshop written by and has been published by Dirk Proske Verlag this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with categories.
Dynamic Fuzzy Machine Learning
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Author : Fanzhang Li
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2017-12-04
Dynamic Fuzzy Machine Learning written by Fanzhang Li and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-12-04 with Computers categories.
Machine learning is widely used for data analysis. Dynamic fuzzy data are one of the most difficult types of data to analyse in the field of big data, cloud computing, the Internet of Things, and quantum information. At present, the processing of this kind of data is not very mature. The authors carried out more than 20 years of research, and show in this book their most important results. The seven chapters of the book are devoted to key topics such as dynamic fuzzy machine learning models, dynamic fuzzy self-learning subspace algorithms, fuzzy decision tree learning, dynamic concepts based on dynamic fuzzy sets, semi-supervised multi-task learning based on dynamic fuzzy data, dynamic fuzzy hierarchy learning, examination of multi-agent learning model based on dynamic fuzzy logic. This book can be used as a reference book for senior college students and graduate students as well as college teachers and scientific and technical personnel involved in computer science, artificial intelligence, machine learning, automation, data analysis, mathematics, management, cognitive science, and finance. It can be also used as the basis for teaching the principles of dynamic fuzzy learning.
The Collapse Frequency Of Structures
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Author : Dirk Proske
language : en
Publisher: Springer Nature
Release Date : 2022-05-12
The Collapse Frequency Of Structures written by Dirk Proske and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-12 with Technology & Engineering categories.
The mathematical verification of the safety of structures can be done by determining the probability of failure or by using safety elements. Observed damages and collapses are usually assessed within the framework of expert reports, which seems reasonable due to the large number of unique structures in the construction industry. However, there should also be an examination of observed safety across all structures. Therefore, in this book the collapse frequencies are determined for different types of structures, such as bridges, dams, tunnels, retaining structures and buildings. The collapse frequency, like the failure probability, belongs to stochasticity. Therefore, the observed mean collapse frequencies and the calculated mean failure probabilities are compared. This comparison shows that the collapse frequencies are usually lower than the calculated failure probabilities. In addition, core damage frequencies and probabilities are given to extend the comparison to another technical product.
Inductive Dependency Parsing
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Author : Joakim Nivre
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-08-05
Inductive Dependency Parsing written by Joakim Nivre 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 2006-08-05 with Computers categories.
This book describes the framework of inductive dependency parsing, a methodology for robust and efficient syntactic analysis of unrestricted natural language text. Coverage includes a theoretical analysis of central models and algorithms, and an empirical evaluation of memory-based dependency parsing using data from Swedish and English. A one-stop reference to dependency-based parsing of natural language, it will interest researchers and system developers in language technology, and is suitable for graduate or advanced undergraduate courses.
The Oxford Handbook Of Experimental Syntax
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Author : Jon Sprouse
language : en
Publisher: Oxford University Press
Release Date : 2023-04-15
The Oxford Handbook Of Experimental Syntax written by Jon Sprouse and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-15 with Language Arts & Disciplines categories.
This volume showcases the contributions that formal experimental methods can make to syntactic research in the 21st century. Syntactic theory is both a domain of study in its own right, and one component of an integrated theory of the cognitive neuroscience of language. It provides a theory of the mediation between sound and meaning, a theory of the representations constructed during sentence processing, and a theory of the end-state for language acquisition. Given the highly interactive nature of the theory of syntax, this volume defines "experimental syntax" in the broadest possible terms, exploring both formal experimental methods that have been part of the domain of syntax since its inception (i.e., acceptability judgment methods) and formal experimental methods that have arisen through the interaction of syntactic theory with the domains of acquisition, psycholinguistics, and neurolinguistics. The Oxford Handbook of Experimental Syntax brings these methods together into a single experimental syntax volume for the first time, providing high-level reviews of major experimental work, offering guidance for researchers looking to incorporate these diverse methods into their own work, and inspiring new research that will push the boundaries of the theory of syntax. It will appeal to students and scholars from the advanced undergraduate level upwards in a range of fields including syntax, acquisition, psycholinguistics, neurolinguistics, and computational linguistics.
Machine Learning For Brain Disorders
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Author : Olivier Colliot
language : en
Publisher: Springer Nature
Release Date : 2023-07-24
Machine Learning For Brain Disorders written by Olivier Colliot and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-24 with Medical categories.
This Open Access volume provides readers with an up-to-date and comprehensive guide to both methodological and applicative aspects of machine learning (ML) for brain disorders. The chapters in this book are organized into five parts. Part One presents the fundamentals of ML. Part Two looks at the main types of data used to characterize brain disorders, including clinical assessments, neuroimaging, electro- and magnetoencephalography, genetics and omics data, electronic health records, mobile devices, connected objects and sensors. Part Three covers the core methodologies of ML in brain disorders and the latest techniques used to study them. Part Four is dedicated to validation and datasets, and Part Five discusses applications of ML to various neurological and psychiatric disorders. In the Neuromethods series style, chapters include the kind of detail and key advice from the specialists needed to get successful results in your laboratory. Comprehensive and cutting, Machine Learning for Brain Disorders is a valuable resource for researchers and graduate students who are new to this field, as well as experienced researchers who would like to further expand their knowledge in this area. This book will be useful to students and researchers from various backgrounds such as engineers, computer scientists, neurologists, psychiatrists, radiologists, and neuroscientists.
Computing Meaning
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Author : Harry Bunt
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-09-18
Computing Meaning written by Harry Bunt 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 2013-09-18 with Computers categories.
This book is a collection of papers by leading researchers in computational semantics. It presents a state-of-the-art overview of recent and current research in computational semantics, including descriptions of new methods for constructing and improving resources for semantic computation, such as WordNet, VerbNet, and semantically annotated corpora. It also presents new statistical methods in semantic computation, such as the application of distributional semantics in the compositional calculation of sentence meanings. Computing the meaning of sentences, texts, and spoken or texted dialogue is the ultimate challenge in natural language processing, and the key to a wide range of exciting applications. The breadth and depth of coverage of this book makes it suitable as a reference and overview of the state of the field for researchers in Computational Linguistics, Semantics, Computer Science, Cognitive Science, and Artificial Intelligence.
Bayesian Networks
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Author : Wichian Premchaiswadi
language : en
Publisher: BoD – Books on Demand
Release Date : 2012-04-20
Bayesian Networks written by Wichian Premchaiswadi and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-04-20 with Mathematics categories.
Bayesian Belief Networks are a powerful tool for combining different knowledge sources with various degrees of uncertainty in a mathematically sound and computationally efficient way. A Bayesian network is a graphical model that encodes probabilistic relationships among variables of interest. When used in conjunction with statistical techniques, the graphical model has several advantages for data modeling. First, because the model encodes dependencies among all variables, it readily handles situations where some data entries are missing. Second, a Bayesian network can be used to learn causal relationships, and hence can be used to gain an understanding about a problem domain and to predict the consequences of intervention. Third, because the model has both causal and probabilistic semantics, it is an ideal representation for combining prior knowledge (which often comes in a causal form) and data. Fourth, Bayesian statistical methods in conjunction with Bayesian networks offer an efficient and principled approach to avoid the over fitting of data.
Cosmology In Scalar Tensor Gravity
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Author : Valerio Faraoni
language : en
Publisher: Springer Science & Business Media
Release Date : 2004-04-30
Cosmology In Scalar Tensor Gravity written by Valerio Faraoni 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 2004-04-30 with Science categories.
Cosmology in Scalar-Tensor Gravity covers all aspects of cosmology in scalar-tensor theories of gravity. Considerable progress has been made in this exciting area of physics and this book is the first to provide a critical overview of the research. Among the topics treated are: -Scalar-tensor gravity and its limit to general relativity, -Effective energy-momentum tensors and conformal frames, -Gravitational waves in scalar-tensor cosmology, -Specific scalar-tensor theories, -Exact cosmological solutions and cosmological perturbations, -Scalar-tensor scenarios of the early universe and inflation, -Scalar-tensor models of quintessence in the present universe and their far-reaching consequences for the ultimate fate of the cosmos.
Validation Of Stochastic Systems
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Author : Christel Baier
language : en
Publisher: Springer
Release Date : 2004-08-26
Validation Of Stochastic Systems written by Christel Baier and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-08-26 with Mathematics categories.
This tutorial volume presents a coherent and well-balanced introduction to the validation of stochastic systems; it is based on a GI/Dagstuhl research seminar. Supervised by the seminar organizers and volume editors, established researchers in the area as well as graduate students put together a collection of articles competently covering all relevant issues in the area. The lectures are organized in topical sections on: modeling stochastic systems, model checking of stochastic systems, representing large state spaces, deductive verification of stochastic systems.