Adaptive Dynamic Bayesian Networks

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Adaptive Processing of Sequences and Data Structures

Author : C.Lee Giles
Publisher : Springer Science & Business Media
ISBN 13 : 9783540643418
Total Pages : 456 pages
Book Rating : 4.6/5 (434 download)

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Book Synopsis Adaptive Processing of Sequences and Data Structures by : C.Lee Giles

Download or read book Adaptive Processing of Sequences and Data Structures written by C.Lee Giles and published by Springer Science & Business Media. This book was released on 1998-03-25 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt: Tenascin, a recently characterized extracellular matrix (ECM) protein which is expressed during embryonic and fetal development, wound healing and various benign and malignant tumors (but highly restricted in normal adult tissues) is believed to affect a number of cellular functions such as cellular growth, differentiation, adhesion and motility. It has been extensively studied in recent years to elucidate cellular phenomena that are associated with development, tissue regeneration and neoplastic growth and behavior. It may be a potential target in the treatment of cancers and other disorders. This book focuses mainly on tissue expression and the poorly known biological role of this ECM protein.

Learning Bayesian Networks

Author : Richard E. Neapolitan
Publisher : Prentice Hall
ISBN 13 :
Total Pages : 704 pages
Book Rating : 4.F/5 ( download)

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Book Synopsis Learning Bayesian Networks by : Richard E. Neapolitan

Download or read book Learning Bayesian Networks written by Richard E. Neapolitan and published by Prentice Hall. This book was released on 2004 with total page 704 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this first edition book, methods are discussed for doing inference in Bayesian networks and inference diagrams. Hundreds of examples and problems allow readers to grasp the information. Some of the topics discussed include Pearl's message passing algorithm, Parameter Learning: 2 Alternatives, Parameter Learning r Alternatives, Bayesian Structure Learning, and Constraint-Based Learning. For expert systems developers and decision theorists.

Introduction to Bayesian Networks

Author : Finn V. Jensen
Publisher : Springer
ISBN 13 : 9780387915029
Total Pages : 178 pages
Book Rating : 4.9/5 (15 download)

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Book Synopsis Introduction to Bayesian Networks by : Finn V. Jensen

Download or read book Introduction to Bayesian Networks written by Finn V. Jensen and published by Springer. This book was released on 1997-08-15 with total page 178 pages. Available in PDF, EPUB and Kindle. Book excerpt: Disk contains: Tool for building Bayesian networks -- Library of examples -- Library of proposed solutions to some exercises.

Benefits of Bayesian Network Models

Author : Philippe Weber
Publisher : John Wiley & Sons
ISBN 13 : 184821992X
Total Pages : 146 pages
Book Rating : 4.8/5 (482 download)

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Book Synopsis Benefits of Bayesian Network Models by : Philippe Weber

Download or read book Benefits of Bayesian Network Models written by Philippe Weber and published by John Wiley & Sons. This book was released on 2016-08-29 with total page 146 pages. Available in PDF, EPUB and Kindle. Book excerpt: The application of Bayesian Networks (BN) or Dynamic Bayesian Networks (DBN) in dependability and risk analysis is a recent development. A large number of scientific publications show the interest in the applications of BN in this field. Unfortunately, this modeling formalism is not fully accepted in the industry. The questions facing today's engineers are focused on the validity of BN models and the resulting estimates. Indeed, a BN model is not based on a specific semantic in dependability but offers a general formalism for modeling problems under uncertainty. This book explains the principles of knowledge structuration to ensure a valid BN and DBN model and illustrate the flexibility and efficiency of these representations in dependability, risk analysis and control of multi-state systems and dynamic systems. Across five chapters, the authors present several modeling methods and industrial applications are referenced for illustration in real industrial contexts.

Artificial Intelligence In Medicine

Author : Peter Szolovits
Publisher : Routledge
ISBN 13 : 0429728468
Total Pages : 243 pages
Book Rating : 4.4/5 (297 download)

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Book Synopsis Artificial Intelligence In Medicine by : Peter Szolovits

Download or read book Artificial Intelligence In Medicine written by Peter Szolovits and published by Routledge. This book was released on 2019-03-13 with total page 243 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces the field of artificial intelligence in medicine, a new research area that combines sophisticated representational and computing techniques with the insights of expert physicians to produce tools for improving health care. An introductory chapter describes the historical and technical foundations of the work and provides an overview of the current state of the art and research directions. The authors then describe four prototype computer programs that tackle difficult clinical problems in a manner similar to that of an expert physician. The programs presented are internist, a diagnostic aid that combines a large database of disease/manifestation associations with techniques for problem formulation; expert and the Glaucoma Program which use physiological models for the diagnosis and treatment of eye disease; mycin, a rule-based program for diagnosis and therapy selection for infectious diseases; and the Digitalis Therapy Advisor, which aids the physician in prescribing the right dose of the drug digitalis and also explains its actions.

Cognitive Computing in Technology-Enhanced Learning

Author : Lytras, Miltiadis D.
Publisher : IGI Global
ISBN 13 : 1522590323
Total Pages : 373 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis Cognitive Computing in Technology-Enhanced Learning by : Lytras, Miltiadis D.

Download or read book Cognitive Computing in Technology-Enhanced Learning written by Lytras, Miltiadis D. and published by IGI Global. This book was released on 2019-05-31 with total page 373 pages. Available in PDF, EPUB and Kindle. Book excerpt: Various technologies and applications such as cognitive computing, artificial intelligence, and learning analytics have received increased attention in recent years. The growing demand behind their adoption and exploitation in different application contexts has captured the attention of learning technology specialists, computer engineers, and business researchers who are attempting to decipher the phenomenon of personalized e-learning, its relation to already conducted research, and its implications for new research opportunities that effect innovations in teaching. Cognitive Computing in Technology-Enhanced Learning is a critical resource publication that aims to demonstrate state-of-the-art approaches of advanced data mining systems in e-learning, such as MOOCs and other innovative technologies, to improve learning analytics, as well as to show how new and advanced user interaction designs, educational models, and adoptive strategies can expand sustainability in applied learning technologies. Highlighting a range of topics such as augmented reality, ethics, and online learning environments, this book is ideal for educators, instructional designers, higher education faculty, school administrators, academicians, researchers, and students.

Bayesian Networks

Author : Olivier Pourret
Publisher : John Wiley & Sons
ISBN 13 : 9780470994542
Total Pages : 446 pages
Book Rating : 4.9/5 (945 download)

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Book Synopsis Bayesian Networks by : Olivier Pourret

Download or read book Bayesian Networks written by Olivier Pourret and published by John Wiley & Sons. This book was released on 2008-04-30 with total page 446 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bayesian Networks, the result of the convergence of artificial intelligence with statistics, are growing in popularity. Their versatility and modelling power is now employed across a variety of fields for the purposes of analysis, simulation, prediction and diagnosis. This book provides a general introduction to Bayesian networks, defining and illustrating the basic concepts with pedagogical examples and twenty real-life case studies drawn from a range of fields including medicine, computing, natural sciences and engineering. Designed to help analysts, engineers, scientists and professionals taking part in complex decision processes to successfully implement Bayesian networks, this book equips readers with proven methods to generate, calibrate, evaluate and validate Bayesian networks. The book: Provides the tools to overcome common practical challenges such as the treatment of missing input data, interaction with experts and decision makers, determination of the optimal granularity and size of the model. Highlights the strengths of Bayesian networks whilst also presenting a discussion of their limitations. Compares Bayesian networks with other modelling techniques such as neural networks, fuzzy logic and fault trees. Describes, for ease of comparison, the main features of the major Bayesian network software packages: Netica, Hugin, Elvira and Discoverer, from the point of view of the user. Offers a historical perspective on the subject and analyses future directions for research. Written by leading experts with practical experience of applying Bayesian networks in finance, banking, medicine, robotics, civil engineering, geology, geography, genetics, forensic science, ecology, and industry, the book has much to offer both practitioners and researchers involved in statistical analysis or modelling in any of these fields.

Pulsed Neural Networks

Author : Wolfgang Maass
Publisher : MIT Press
ISBN 13 : 9780262632218
Total Pages : 414 pages
Book Rating : 4.6/5 (322 download)

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Book Synopsis Pulsed Neural Networks by : Wolfgang Maass

Download or read book Pulsed Neural Networks written by Wolfgang Maass and published by MIT Press. This book was released on 2001-01-26 with total page 414 pages. Available in PDF, EPUB and Kindle. Book excerpt: Most practical applications of artificial neural networks are based on a computational model involving the propagation of continuous variables from one processing unit to the next. In recent years, data from neurobiological experiments have made it increasingly clear that biological neural networks, which communicate through pulses, use the timing of the pulses to transmit information and perform computation. This realization has stimulated significant research on pulsed neural networks, including theoretical analyses and model development, neurobiological modeling, and hardware implementation. This book presents the complete spectrum of current research in pulsed neural networks and includes the most important work from many of the key scientists in the field. Terrence J. Sejnowski's foreword, "Neural Pulse Coding," presents an overview of the topic. The first half of the book consists of longer tutorial articles spanning neurobiology, theory, algorithms, and hardware. The second half contains a larger number of shorter research chapters that present more advanced concepts. The contributors use consistent notation and terminology throughout the book. Contributors Peter S. Burge, Stephen R. Deiss, Rodney J. Douglas, John G. Elias, Wulfram Gerstner, Alister Hamilton, David Horn, Axel Jahnke, Richard Kempter, Wolfgang Maass, Alessandro Mortara, Alan F. Murray, David P. M. Northmore, Irit Opher, Kostas A. Papathanasiou, Michael Recce, Barry J. P. Rising, Ulrich Roth, Tim Schönauer, Terrence J. Sejnowski, John Shawe-Taylor, Max R. van Daalen, J. Leo van Hemmen, Philippe Venier, Hermann Wagner, Adrian M. Whatley, Anthony M. Zador

Bayesian Networks in R

Author : Radhakrishnan Nagarajan
Publisher : Springer Science & Business Media
ISBN 13 : 1461464463
Total Pages : 168 pages
Book Rating : 4.4/5 (614 download)

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Book Synopsis Bayesian Networks in R by : Radhakrishnan Nagarajan

Download or read book Bayesian Networks in R written by Radhakrishnan Nagarajan and published by Springer Science & Business Media. This book was released on 2014-07-08 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bayesian Networks in R with Applications in Systems Biology is unique as it introduces the reader to the essential concepts in Bayesian network modeling and inference in conjunction with examples in the open-source statistical environment R. The level of sophistication is also gradually increased across the chapters with exercises and solutions for enhanced understanding for hands-on experimentation of the theory and concepts. The application focuses on systems biology with emphasis on modeling pathways and signaling mechanisms from high-throughput molecular data. Bayesian networks have proven to be especially useful abstractions in this regard. Their usefulness is especially exemplified by their ability to discover new associations in addition to validating known ones across the molecules of interest. It is also expected that the prevalence of publicly available high-throughput biological data sets may encourage the audience to explore investigating novel paradigms using the approaches presented in the book.

Adaptive Dynamics

Author : J. E. R. Staddon
Publisher : MIT Press
ISBN 13 : 9780262194532
Total Pages : 444 pages
Book Rating : 4.1/5 (945 download)

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Book Synopsis Adaptive Dynamics by : J. E. R. Staddon

Download or read book Adaptive Dynamics written by J. E. R. Staddon and published by MIT Press. This book was released on 2001 with total page 444 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book J.E.R. Staddon proposes an explanation of behavior that lies between cognitive psychology, which seeks to explain it in terms of mentalistic constructs, and cognitive neuroscience, which tries to explain it in terms of the brain. Staddon suggests a new way to understand the laws and causes of learning, based on the invention, comparison, testing, and modification or rejection of parsimonious real-time models for behavior. The models are neither physiological nor cognitive: they are behavioristic. Staddon shows how simple dynamic models can explain a surprising variety of animal and human behavior, ranging from simple orientation, reflexes, and habituation through feeding regulation, operant conditioning, spatial navigation, stimulus generalization, and interval timing.

Adaptive Multimodal Interactive Systems

Author : Matthias Bezold
Publisher : Springer Science & Business Media
ISBN 13 : 1441997105
Total Pages : 186 pages
Book Rating : 4.4/5 (419 download)

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Book Synopsis Adaptive Multimodal Interactive Systems by : Matthias Bezold

Download or read book Adaptive Multimodal Interactive Systems written by Matthias Bezold and published by Springer Science & Business Media. This book was released on 2011-07-12 with total page 186 pages. Available in PDF, EPUB and Kindle. Book excerpt: Adaptive Multimodal Interactive Systems introduces a general framework for adapting multimodal interactive systems and comprises a detailed discussion of each of the steps required for adaptation. This book also investigates how interactive systems may be improved in terms of usability and user friendliness while describing the exhaustive user tests employed to evaluate the presented approaches. After introducing general theory, a generic approach for user modeling in interactive systems is presented, ranging from an observation of basic events to a description of higher-level user behavior. Adaptations are presented as a set of patterns similar to those known from software or usability engineering.These patterns describe recurring problems and present proven solutions. The authors include a discussion on when and how to employ patterns and provide guidance to the system designer who wants to add adaptivity to interactive systems. In addition to these patterns, the book introduces an adaptation framework, which exhibits an abstraction layer using Semantic Web technology.Adaptations are implemented on top of this abstraction layer by creating a semantic representation of the adaptation patterns. The patterns cover both graphical interfaces as well as speech-based and multimodal interactive systems.

Artificial Intelligence in Construction Engineering and Management

Author : Limao Zhang
Publisher : Springer Nature
ISBN 13 : 9811628424
Total Pages : 271 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Artificial Intelligence in Construction Engineering and Management by : Limao Zhang

Download or read book Artificial Intelligence in Construction Engineering and Management written by Limao Zhang and published by Springer Nature. This book was released on 2021-06-18 with total page 271 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights the latest technologies and applications of Artificial Intelligence (AI) in the domain of construction engineering and management. The construction industry worldwide has been a late bloomer to adopting digital technology, where construction projects are predominantly managed with a heavy reliance on the knowledge and experience of construction professionals. AI works by combining large amounts of data with fast, iterative processing, and intelligent algorithms (e.g., neural networks, process mining, and deep learning), allowing the computer to learn automatically from patterns or features in the data. It provides a wide range of solutions to address many challenging construction problems, such as knowledge discovery, risk estimates, root cause analysis, damage assessment and prediction, and defect detection. A tremendous transformation has taken place in the past years with the emerging applications of AI. This enables industrial participants to operate projects more efficiently and safely, not only increasing the automation and productivity in construction but also enhancing the competitiveness globally.

Innovations in Intelligent Systems

Author : Ajith Abraham
Publisher : Springer
ISBN 13 : 3540396152
Total Pages : 486 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis Innovations in Intelligent Systems by : Ajith Abraham

Download or read book Innovations in Intelligent Systems written by Ajith Abraham and published by Springer. This book was released on 2013-06-29 with total page 486 pages. Available in PDF, EPUB and Kindle. Book excerpt: Innovations in Intelligent Systems is a rare collection of the latest developments in intelligent paradigms such as knowledge-based systems, computational intelligence and hybrid combinations as well as practical applications in engineering, science, business and commerce. The book covers central topics such as intelligent multi-agent systems, data mining, case-based reasoning, and rough sets. Essential techniques to the development of intelligent machines are investigated such as pattern recognition and classification, machine learning, natural language processing, grammar, evolutionary schemes, fuzzy-neural procedures, and intelligent vision. The book also includes useful applications ranging from medical diagnosis and technical/medical language translation, to power demand forecasting and manufacturing plants. Due to its depth and breadth of the coverage and the usefulness of the techniques and applications, this book is a valuable reference for experts and students alike.

Bayesian Networks

Author : Marco Scutari
Publisher : CRC Press
ISBN 13 : 1000410382
Total Pages : 275 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Bayesian Networks by : Marco Scutari

Download or read book Bayesian Networks written by Marco Scutari and published by CRC Press. This book was released on 2021-07-28 with total page 275 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explains the material step-by-step starting from meaningful examples Steps detailed with R code in the spirit of reproducible research Real world data analyses from a Science paper reproduced and explained in detail Examples span a variety of fields across social and life sciences Overview of available software in and outside R

Bayesian Networks and BayesiaLab

Author : Stefan Conrady
Publisher :
ISBN 13 : 9780996533300
Total Pages : pages
Book Rating : 4.5/5 (333 download)

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Book Synopsis Bayesian Networks and BayesiaLab by : Stefan Conrady

Download or read book Bayesian Networks and BayesiaLab written by Stefan Conrady and published by . This book was released on 2015-07-01 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Bayesian Reasoning and Machine Learning

Author : David Barber
Publisher : Cambridge University Press
ISBN 13 : 0521518148
Total Pages : 739 pages
Book Rating : 4.5/5 (215 download)

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Book Synopsis Bayesian Reasoning and Machine Learning by : David Barber

Download or read book Bayesian Reasoning and Machine Learning written by David Barber and published by Cambridge University Press. This book was released on 2012-02-02 with total page 739 pages. Available in PDF, EPUB and Kindle. Book excerpt: A practical introduction perfect for final-year undergraduate and graduate students without a solid background in linear algebra and calculus.

Adaptive Instructional Systems. Adaptation Strategies and Methods

Author : Robert A. Sottilare
Publisher : Springer Nature
ISBN 13 : 3030778738
Total Pages : 249 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Adaptive Instructional Systems. Adaptation Strategies and Methods by : Robert A. Sottilare

Download or read book Adaptive Instructional Systems. Adaptation Strategies and Methods written by Robert A. Sottilare and published by Springer Nature. This book was released on 2021-07-03 with total page 249 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set LNCS 12792 and 12793 constitutes the refereed proceedings of the Third International Conference on Adaptive Instructional Systems, AIS 2021, held as part of the 23rd International Conference, HCI International 2021, which took place in July 2021. Due to COVID-19 pandemic the conference was held virtually. The total of 1276 papers and 241 posters included in the 39 HCII 2021 proceedings volumes was carefully reviewed and selected from 5222 submissions. The papers of AIS 2021, Part II, focus on Learner Modelling and State Assessment in AIS.