Mdata: A New Knowledge Representation Model: Theory, Methods and Applications, Jia Yan, Gu Zhaoquan, Li Aiping

Автор: Jan L. Talmon; John Fox
Название: Knowledge Based Systems in Medicine: Methods, Applications and Evaluation
ISBN: 3540550119 ISBN-13(EAN): 9783540550112
Издательство: Springer
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Цена: 81050.00 T
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Описание: This proceedings volume contains a series of essays that describe the use of artificial intelligence in medical research in Europe. Methodological issues regarding the construction and evaluation of medical decision aids are discussed as well as applications for critical and chronic care.

Автор: Emilia Mendes
Название: Practitioner`s Knowledge Representation
ISBN: 3662511991 ISBN-13(EAN): 9783662511992
Издательство: Springer
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Цена: 65210.00 T
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Описание: The goal of this book is to help organizations improve their effort estimates and effort estimation processes by providing a step-by-step methodology that takes them through the creation and validation of models based on their own knowledge and experience.

Автор: John-Jules Meyer; Jan M. Broersen
Название: Knowledge Representation for Agents and Multi-Agent Systems
ISBN: 3642053009 ISBN-13(EAN): 9783642053009
Издательство: Springer
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Цена: 65210.00 T
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Описание: First International Workshop KRAMAS 2008 Sydney Australia September 17 2008 Revised Selected Papers. .

Автор: Arjen Hommersom; Peter J.F. Lucas
Название: Foundations of Biomedical Knowledge Representation
ISBN: 3319280066 ISBN-13(EAN): 9783319280066
Издательство: Springer
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Цена: 52170.00 T
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Описание:

How to Read the Book "Foundations of Biomedical Knowledge Representation".- An Introduction to Knowledge Representation and Reasoning in Healthcare.- Representing Knowledge for Clinical Diagnostic Reasoning.- Automated Diagnosis of Breast Cancer on Medical.- Monitoring in the Healthcare Setting.- Conformance Verification of Clinical Guidelines in Presence of Computerized and Human-Enhanced.- Modelling and Monitoring the Individual Patient in Real Time.- Personalised Medicine: Taking a New Look at the Patient.- Graphical Modelling in Genetics and Systems Biology.- Chain Graphs and Gene Networks.- Prediction and Prognosis of Health and Disease.- Trajectories Through the Disease Process: Cross Sectional and Longitudinal Studies.- Dynamic Bayesian Network for Cervical Cancer Screening.- Modeling Dynamic Processes with Memory by Higher Order Temporal Models.- Treatment of Disease: The Role of Knowledge Representation for Treatment Selection.- Predicting Adverse Drug Events from Electronic Medical Records.- User Modelling for Patient Tailored Virtual Rehabilitation.- Supporting Physicians and Patients through Recommendation: Guidelines and Beyond.- A Hybrid Approach to the Verification of Computer Interpretable Guidelines.- Aggregation of Clinical Evidence Using Argumentation.

Автор: Gelfond, M. and Kahl, Y.
Название: Knowledge Representation, Reasoning, and the Design of Intelligent Agents
ISBN: 1107029562 ISBN-13(EAN): 9781107029569
Издательство: Cambridge Academ
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Цена: 53850.00 T
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Описание: This in-depth introduction for students and researchers shows how to use ASP for intelligent tasks, including answering queries, planning, and diagnostics.

Автор: David Ria?o; Richard Lenz; Silvia Miksch; Mor Pele
Название: Knowledge Representation for Health Care
ISBN: 3319265849 ISBN-13(EAN): 9783319265841
Издательство: Springer
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Цена: 37270.00 T
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Описание: This Top-Up Launchpack is ideal for those who already have the Early Level 1 Launchpack containing Sets A and B. This pack completes the set with 6 copies each of all 16 New Early Level 1 Set C Titles: Blow Wind Blow, Busy Buddy, Going to Ski, Faces Show Feelings, Help Me Please, Make a Snowman, Sand Everywhere! What Will We Eat?, Collections, Endangered Animals, Hats on Heads, Heavy or Light?, High, Higher, Highest, Pairs of Feet, This or That?, Where Do Animals Sleep?Packaged in a single carry case with divider cards.

Автор: Gerhard Lakemeyer; Bernhard Nebel
Название: Foundations of Knowledge Representation and Reasoning
ISBN: 3540581073 ISBN-13(EAN): 9783540581079
Издательство: Springer
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Цена: 74530.00 T
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Описание: This volume provides a report on current research in the area of knowledge representation, a central subfield of artificial intelligence. The papers grew out of a workshop held in conjunction with the 10th European Conference on Artificial Intelligence, held in Vienna in 1992.

Автор: Kountchev Roumen, Patnaik Srikanta, Shi Junsheng
Название: Advances in 3D Image and Graphics Representation, Analysis, Computing and Information Technology: Algorithms and Applications, Proceedings of Ic3dit 2
ISBN: 9811538662 ISBN-13(EAN): 9789811538667
Издательство: Springer
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Цена: 204970.00 T
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Описание: This book gathers selected papers presented at the conference "Advances in 3D Image and Graphics Representation, Analysis, Computing and Information Technology," one of the first initiatives devoted to the problems of 3D imaging in all contemporary scientific and application areas.

Автор: Madalina Croitoru; Pierre Marquis; Sebastian Rudol
Название: Graph Structures for Knowledge Representation and Reasoning
ISBN: 331928701X ISBN-13(EAN): 9783319287010
Издательство: Springer
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Цена: 37270.00 T
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Описание: This book constitutes the thoroughly refereed post-conference proceedings of the 4th International Workshop on Graph Structures for Knowledge Representation and Reasoning, GKR 2015, held in Buenos Aires, Argentina, in July 2015, associated with IJCAI 2015, the 24th International Joint Conference on Artificial Intelligence.

Автор: David Ria?o; Richard Lenz; Manfred Reichert
Название: Knowledge Representation for Health Care
ISBN: 3319550136 ISBN-13(EAN): 9783319550138
Издательство: Springer
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Цена: 46570.00 T
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Описание: Ontologies in health care.- Clinical quality, evaluation, and simulation.- Computer guidelines engineering and usage.- Comorbidity and clinical process management.

Автор: Marquis
Название: A Guided Tour of Artificial Intelligence Research: Volume I: Knowledge Representation, Reasoning and Learning
ISBN: 3030061639 ISBN-13(EAN): 9783030061630
Издательство: Springer
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Цена: 186330.00 T
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Описание: The purpose of this book is to provide an overview of AI research, ranging from basic work to interfaces and applications, with as much emphasis on results as on current issues. It is aimed at an audience of master students and Ph.D. students, and can be of interest as well for researchers and engineers who want to know more about AI.

The book is split into three volumes:- the first volume brings together twenty-three chapters dealing with the foundations of knowledge representation and the formalization of reasoning and learning (Volume 1. Knowledge representation, reasoning and learning)- the second volume offers a view of AI, in fourteen chapters, from the side of the algorithms (Volume 2. AI Algorithms)- the third volume, composed of sixteen chapters, describes the main interfaces and applications of AI (Volume 3.

Interfaces and applications of AI). Implementing reasoning or decision making processes requires an appropriate representation of the pieces of information to be exploited. This first volume starts with a historical chapter sketching the slow emergence of building blocks of AI along centuries.

Then the volume provides an organized overview of different logical, numerical, or graphical representation formalisms able to handle incomplete information, rules having exceptions, probabilistic and possibilistic uncertainty (and beyond), as well as taxonomies, time, space, preferences, norms, causality, and even trust and emotions among agents. Different types of reasoning, beyond classical deduction, are surveyed including nonmonotonic reasoning, belief revision, updating, information fusion, reasoning based on similarity (case-based, interpolative, or analogical), as well as reasoning about actions, reasoning about ontologies (description logics), argumentation, and negotiation or persuasion between agents. Three chapters deal with decision making, be it multiple criteria, collective, or under uncertainty.

Two chapters cover statistical computational learning and reinforcement learning (other machine learning topics are covered in Volume 2). Chapters on diagnosis and supervision, validation and explanation, and knowledge base acquisition complete the volume.

Автор: Ellen Hisdal
Название: Logical Structures for Representation of Knowledge and Uncertainty
ISBN: 3790824585 ISBN-13(EAN): 9783790824582
Издательство: Springer
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Цена: 153720.00 T
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Описание: The M logic goes an important step further than the BP logic in that it can distinguish between certain types of information supply sentences which have the same representation in the BP logic as well as in traditional first order logic, although they clearly have different meanings (see example 6.