Advances in Case-Based Reasoning

Advances in Case-Based Reasoning PDF Author: Klaus-Dieter Althoff
Publisher: Springer Science & Business Media
ISBN: 3540855017
Category : Computers
Languages : en
Pages : 644

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Book Description
This book constitutes the refereed proceedings of the 9th European Conference on Case-Based Reasoning, ECCBR 2008, held in Trier, Germany, in September 2008. The 34 revised research papers and 5 revised application papers presented together with 3 invited talks were carefully reviewed and selected from 71 submissions. All current issues in case-based reasoning are addressed, ranging from theoretical and methodological issues to advanced applications in various fields such as knowledge discovery, similarity, context-awareness, uncertainty, and health sciences.

Advances in Case-Based Reasoning

Advances in Case-Based Reasoning PDF Author: Klaus-Dieter Althoff
Publisher: Springer Science & Business Media
ISBN: 3540855017
Category : Computers
Languages : en
Pages : 644

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Book Description
This book constitutes the refereed proceedings of the 9th European Conference on Case-Based Reasoning, ECCBR 2008, held in Trier, Germany, in September 2008. The 34 revised research papers and 5 revised application papers presented together with 3 invited talks were carefully reviewed and selected from 71 submissions. All current issues in case-based reasoning are addressed, ranging from theoretical and methodological issues to advanced applications in various fields such as knowledge discovery, similarity, context-awareness, uncertainty, and health sciences.

Inside Case-Based Reasoning

Inside Case-Based Reasoning PDF Author: Christopher K. Riesbeck
Publisher: Psychology Press
ISBN: 1134930097
Category : Psychology
Languages : en
Pages : 440

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Book Description
Introducing issues in dynamic memory and case-based reasoning, this comprehensive volume presents extended descriptions of four major programming efforts conducted at Yale during the past several years. Each descriptive chapter is followed by a companion chapter containing the micro program version of the information. The authors emphasize that the only true way to learn and understand any AI program is to program it yourself. To this end, the book develops a deeper and richer understanding of the content through LISP programming instructions that allow the running, modification, and extension of the micro programs developed by the authors.

Computational Intelligence in Healthcare 4

Computational Intelligence in Healthcare 4 PDF Author: Isabelle Bichindaritz
Publisher: Springer Science & Business Media
ISBN: 3642144632
Category : Computers
Languages : en
Pages : 458

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Book Description
Computational Intelligence is comparatively a new field but it has made a tremendous progress in virtually every discipline right from engineering, science, business, m- agement, aviation to healthcare. Computational intelligence already has a solid track-record of applications to healthcare, of which this book is a continuation. We would like to refer the reader to the excellent previous volumes in this series on computational intelligence in heal- care [1-3]. This book is aimed at providing the most recent advances and state of the art in the practical applications of computational intelligence paradigms in healthcare. It - cludes nineteen chapters on using various computational intelligence methods in healthcare such as intelligent agents and case-based reasoning. A number of fielded applications and case studies are presented. Highlighted are in particular novel c- putational approaches to the semantic management of health information such as in the Web 2.0, mobile agents such as in portable devices, learning agents capable of adapting to diverse clinical settings through case-based reasoning, and statistical - proaches in computational intelligence. This book is targeted towards scientists, application engineers, professors, health professionals, professors, and students. Background information on computational intelligence has been provided whenever necessary to facilitate the comprehension of a broad audience including healthcare practitioners.

Case-Based Learning

Case-Based Learning PDF Author: Janet L. Kolodner
Publisher: Springer Science & Business Media
ISBN: 9780792393436
Category : Computers
Languages : en
Pages : 186

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Book Description
Case-based reasoning means reasoning based on remembering previous experiences. A reasoner using old experiences (cases) might use those cases to suggest solutions to problems, to point out potential problems with a solution being computed, to interpret a new situation and make predictions about what might happen, or to create arguments justifying some conclusion. A case-based reasoner solves new problems by remembering old situations and adapting their solutions. It interprets new situations by remembering old similar situations and comparing and contrasting the new one to old ones to see where it fits best. Case-based reasoning combines reasoning with learning. It spans the whole reasoning cycle. A situation is experienced. Old situations are used to understand it. Old situations are used to solve a problem (if there is one to be solved). Then the new situation is inserted into memory alongside the cases it used for reasoning, to be used another time. The key to this reasoning method, then, is remembering. Remembering has two parts: integrating cases or experiences into memory when they happen and recalling them in appropriate situations later on. The case-based reasoning community calls this related set of issues the indexing problem. In broad terms, it means finding in memory the experience closest to a new situation. In narrower terms, it can be described as a two-part problem: assigning indexes or labels to experiences when they are put into memory that describe the situations to which they are applicable, so that they can be recalled later; and at recall time, elaborating the new situation in enough detail so that the indexes it would have if it were in the memory are identified. Case-Based Learning is an edited volume of original research comprising invited contributions by leading workers. This work has also been published as a special issues of MACHINE LEARNING, Volume 10, No. 3.

Case-Based Reasoning

Case-Based Reasoning PDF Author: Michael M. Richter
Publisher: Springer Science & Business Media
ISBN: 3642401678
Category : Computers
Languages : en
Pages : 550

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Book Description
This book presents case-based reasoning in a systematic approach with two goals: to present rigorous and formally valid structures for precise case-based reasoning, and to demonstrate the range of techniques, methods, and tools available for many applications.

Advances in Artificial Intelligence

Advances in Artificial Intelligence PDF Author: Pietro Torasso
Publisher: Springer Science & Business Media
ISBN: 9783540572923
Category : Computers
Languages : en
Pages : 356

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Book Description
This book contains 22 long papers and 13 short ones selected for the Scientific Track of the Third Congress of the Italian Association for Artificial Intelligence. The long papers report completed work whereas the short papers are mainly devoted to ongoing research. The papers report significant work carried out in the different subfields of artificial intelligence not only in Italy but also elsewhere: 8 of the papers come from outside Italy, with 2 from the United States and 1 eachfrom Australia, Austria, Germany, The Netherlands, Spain, and Turkey. The papers in the book are grouped into parts on: automated reasoning; cognitive models; connectionist models and subsymbolic approaches; knowledge representation and reasoning; languages, architectures and tools for AI; machine learning; natural language; planning and robotics; and reasoning about physical systems and artifacts.

Case-Based Approximate Reasoning

Case-Based Approximate Reasoning PDF Author: Eyke Hüllermeier
Publisher: Springer Science & Business Media
ISBN: 1402056958
Category : Computers
Languages : en
Pages : 384

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Book Description
Making use of different frameworks of approximate reasoning and reasoning under uncertainty, notably probabilistic and fuzzy set-based techniques, this book develops formal models of the above inference principle, which is fundamental to CBR. The case-based approximate reasoning methods thus obtained especially emphasize the heuristic nature of case-based inference and aspects of uncertainty in CBR.

Soft Computing in Case Based Reasoning

Soft Computing in Case Based Reasoning PDF Author: Sankar Kumar Pal
Publisher: Springer Science & Business Media
ISBN: 1447106873
Category : Computers
Languages : en
Pages : 380

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Book Description
This text demonstrates how various soft computing tools can be applied to design and develop methodologies and systems with case based reasoning, that is, for real-life decision-making or recognition problems. Comprising contributions from experts, it introduces the basic concepts and theories, and includes many reports on real-life applications. This book is of interest to graduate students and researchers in computer science, electrical engineering and information technology, as well as researchers and practitioners from the fields of systems design, pattern recognition and data mining.

Case-based Reasoning

Case-based Reasoning PDF Author: David B. Leake
Publisher:
ISBN:
Category : Computers
Languages : en
Pages : 446

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Book Description
It also presents lessons learned about how to design CBR systems and how to apply them to real-world problems. The final chapters include a perspective on the state of the field and the most important directions for future impact.

Advanced Intelligent Computing Theories and Applications

Advanced Intelligent Computing Theories and Applications PDF Author: De-Shuang Huang
Publisher: Springer
ISBN: 3540742824
Category : Computers
Languages : en
Pages : 1400

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Book Description
This volume, in conjunction with the two volumes LNCS 4681 and LNAI 4682, constitutes the refereed proceedings of the Third International Conference on Intelligent Computing held in Qingdao, China, in August 2007. The conference sought to establish contemporary intelligent computing techniques as an integral method that underscores trends in advanced computational intelligence and links theoretical research with applications.