Case-Based Reasoning: A Textbook

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  1. Using Case Based Reasoning to Answer Exam Questions
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  3. Case-based Reasoning - Janet L. Kolodner - Google книги
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From American Association for Artificial Intelligence. Case-based reasoning CBR is a flourishing paradigm for reasoning and learning in artificial intelligence, with major research efforts and burgeoning applications extending the frontiers of the field. This book provides an introduction for students as well as an up-to-date overview for experienced researchers and practitioners. It examines the field in a "case-based" way, through concrete examples of how key issues—including indexing and retrieval, case adaptation, evaluation, and application of CBR methods—are being addressed in the context of a range of tasks and domains.

Complementing these case studies are commentaries by leading researchers on the lessons learned from experiences with CBR and visions for the roles in which case-based reasoning can have the greatest impact. A tutorial introduction by Janet Kolodner, one of the originators of CBR, and David Leake makes the book accessible to students and developers starting to apply case-based reasoning. Ashwin Ram and David Leake. Kenneth M. Ford , Clark Glymour , and Patrick Hayes. Christopher D. Multilingual Natural Language Processing Applications.

Daniel Bikel.

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Alexander Clark. Semantic Computing. Heather Yu. The Text Mining Handbook. Ronen Feldman. Markov Logic. Pedro Domingos. Intelligent Computer Mathematics. Manfred Kerber. Inductive Fuzzy Classification in Marketing Analytics. Michael Kaufmann. Linguistic Modeling of Information and Markup Languages. Andreas Witt. Geospatial Semantics and the Semantic Web. Naveen Ashish. Theories of Programming Languages.

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Using Case Based Reasoning to Answer Exam Questions

John C. Semantics, Logics, and Calculi. Christian W. Steve Young. Michael Kohlhase. Modeling and Using Context. George A. Theory and Applications of Ontology: Computer Applications. Roberto Poli. Inductive Logic Programming. Jesse Davis. Handling Emotions in Human-Computer Dialogues. Johannes Pittermann. Ontology-Driven Software Development.

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Jeff Z. Alessandro Oltramari. Max Bramer. Graph Structures for Knowledge Representation and Reasoning. Madalina Croitoru. Recent Trends in Algebraic Development Techniques. Mihai Codescu. Multimodality in Language and Speech Systems. Logic Programming and Nonmonotonic Reasoning.


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Francesco Calimeri. Foundations of Information and Knowledge Systems. Flavio Ferrarotti. Guillermo Simari. Computer Aided Assessment of Mathematics. Chris Sangwin. Search Techniques in Intelligent Classification Systems. Andrey V. Modern Information Processing. Bernadette Bouchon-Meunier. Katsumi Inoue. Theory and Applications of Formal Argumentation. Elizabeth Black. Uncertainty Modeling. Vladik Kreinovich.

Case-based Reasoning - Janet L. Kolodner - Google книги

Natural Language Processing and Information Systems. Logic, Rewriting, and Concurrency. Handbook on Ontologies. Steffen Staab. Henri Prade. Spatial Information Theory. Sara Irina Fabrikant. Fifty Years of Fuzzy Logic and its Applications. Dan E. Scientific Research in Information Systems. Jan Recker. Abstraction in Artificial Intelligence and Complex Systems. Lorenza Saitta. Beginning Power BI.

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Dan Clark. Moses Effiong Ekpenyong. Design Research in Information Systems.

Alan Hevner. Graph-Based Representation and Reasoning. Peter Chapman. Science Gateways for Distributed Computing Infrastructures. Handbook of Conceptual Modeling. Bernhard Thalheim. The Deductive Spreadsheet. Iliano Cervesato. Refinement in Z and Object-Z.

Case Based Reasoning Assignment

Eerke A. Representation and Management of Narrative Information. Gian Piero Zarri.