Download or read book Knowledge Integration Methods for Probabilistic Knowledge based Systems written by Van Tham Nguyen and published by CRC Press. This book was released on 2022-12-30 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt: Knowledge-based systems and solving knowledge integrating problems have seen a great surge of research activity in recent years. Knowledge Integration Methods provides a wide snapshot of building knowledge-based systems, inconsistency measures, methods for handling consistency, and methods for integrating knowledge bases. The book also provides the mathematical background to solving problems of restoring consistency and integrating probabilistic knowledge bases in the integrating process. The research results presented in the book can be applied in decision support systems, semantic web systems, multimedia information retrieval systems, medical imaging systems, cooperative information systems, and more. This text will be useful for computer science graduates and PhD students, in addition to researchers and readers working on knowledge management and ontology interpretation.
Download or read book Knowledge Integration Methods for Probabilistic Knowledge based Systems written by Van Tham Nguyen and published by CRC Press. This book was released on 2022-12-30 with total page 203 pages. Available in PDF, EPUB and Kindle. Book excerpt: Knowledge-based systems and solving knowledge integrating problems have seen a great surge of research activity in recent years. Knowledge Integration Methods provides a wide snapshot of building knowledge-based systems, inconsistency measures, methods for handling consistency, and methods for integrating knowledge bases. The book also provides the mathematical background to solving problems of restoring consistency and integrating probabilistic knowledge bases in the integrating process. The research results presented in the book can be applied in decision support systems, semantic web systems, multimedia information retrieval systems, medical imaging systems, cooperative information systems, and more. This text will be useful for computer science graduates and PhD students, in addition to researchers and readers working on knowledge management and ontology interpretation.
Download or read book The Knowledge Integration Tool written by Philip H. Newcomb and published by . This book was released on 1988 with total page 378 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Probabilistic Graphical Models written by Linda C. van der Gaag and published by Springer. This book was released on 2014-09-11 with total page 609 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 7th International Workshop on Probabilistic Graphical Models, PGM 2014, held in Utrecht, The Netherlands, in September 2014. The 38 revised full papers presented in this book were carefully reviewed and selected from 44 submissions. The papers cover all aspects of graphical models for probabilistic reasoning, decision making, and learning.
Download or read book Computational Collective Intelligence written by Ngoc Thanh Nguyen and published by Springer. This book was released on 2018-08-27 with total page 578 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set (LNAI 11055 and LNAI 11056) constitutes the refereed proceedings of the 10th International Conference on Collective Intelligence, ICCCI 2018, held in Bristol, UK, in September 2018 The 98 full papers presented were carefully reviewed and selected from 240 submissions. The conference focuses on knowledge engineering and semantic web, social network analysis, recommendation methods and recommender systems, agents and multi-agent systems, text processing and information retrieval, data mining methods and applications, decision support and control systems, sensor networks and internet of things, as well as computer vision techniques.
Download or read book Utilizing Data and Knowledge Mining for Probabilistic Knowledge Bases written by Daniel Joseph Stein and published by . This book was released on 1996-12-01 with total page 68 pages. Available in PDF, EPUB and Kindle. Book excerpt: Problems can arise whenever inferencing is attempted on a knowledge base that is incomplete. Our work shows that data mining techniques can be applied to fill in incomplete areas in Bayesian Knowledge Bases (BKBs), as well as in other knowledge-based systems utilizing probabilistic representations. The problem of inconsistency in BKBs has been addressed in previous work, where reinforcement learning techniques from neural networks were applied. However, the issue of automatically solving incompleteness in BKBs has yet to be addressed. Presently, incompleteness in BKBs is repaired through the application of traditional knowledge acquisition techniques. We show how association rules can be extracted from databases in order to replace excluded information and express missing relationships. A methodology for incorporating those results while maintaining a consistent knowledge base is also included.
Download or read book Probabilistic Methods in Expert Systems written by Romano Scozzafava and published by . This book was released on 1993 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Representing Probabilistic Knowledge in Relational Databases written by International Business Machines Corporation. Research Division and published by . This book was released on 1990 with total page 13 pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract: "As knowledge bases are enlarged to support more complex classes of problems, expert systems will demand efficient knowledge-management techniques -- techniques that are already available in database systems. In this paper, we present the design of a database schema suitable for [sic] knowledge base that employ [sic] a decision-network representation. Using this schema, we describe the process of translating existing knowledge bases into relational format. Although exploratory in nature, our work indicates that the application of database techniques offer numerous advantages over an ad-hoc scheme for managing probabilistic knowledge bases."
Download or read book Uncertain Information Processing In Expert Systems written by Petr Hajek and published by CRC Press. This book was released on 1992-06-29 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: Uncertain Information Processing in Expert Systems systematically and critically examines probabilistic and rule-based (compositional, MYCIN-like) systems, the two most important families of expert systems dealing with uncertainty. The book features a detailed introduction to probabilistic systems (including methods using graphical models and methods of knowledge integration), an analysis of compositional systems based on algebraic considerations, an application of graphical models, and the Dempster-Shafer theory of evidence and its use in expert systems. The book will be useful to anyone working in artificial intelligence, statistical computing, symbolic logic, and expert systems.
Download or read book Methods of Knowledge Acquisition and Integration of Knowledge Based Systems Applications written by UNICOM. and published by . This book was released on 1990 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Methods of Knowledge Acquisition and Integration of Knowledge Based Systems Applications written by British Computer Society, Specialist Group on Expert Systems and published by . This book was released on 1990 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Rule integration for knowledge based systems written by Christoph F. Eick and published by . This book was released on 1990 with total page 22 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Epistemological Databases for Probabilistic Knowledge Base Construction written by Michael Louis Wick and published by . This book was released on 2015 with total page 173 pages. Available in PDF, EPUB and Kindle. Book excerpt: Knowledge bases (KB) facilitate real world decision making by providing access to structured relational information that enables pattern discovery and semantic queries. Although there is a large amount of data available for populating a KB; the data must first be gathered and assembled. Traditionally, this integration is performed automatically by storing the output of an information extraction pipeline directly into a database as if this prediction were the ``truth.'' However, the resulting KB is often not reliable because (a) errors accumulate in the integration pipeline, and (b) they persist in the KB even after new information arrives that could rectify these errors. We envision a paradigm-shift in KB construction for addressing these concerns that we term an ``epistemological'' database. In epistemological databases the existence and properties of entities are not directly input into the DB; they are instead determined by inference on raw evidence input into the DB. This shift in thinking is important because it allows inference to revisit previous conclusions and retroactively correct errors as new evidence arrives. Evidence is abundant and in steady supply from web spiders, semantic web ontologies, external databases, and even groups of enthusiastic human editors. As this evidence continues to accumulate and inference continues to run in the background, the quality of the knowledge base continues to improve. In this dissertation we develop the machine learning components necessary to achieve epistemological knowledge base construction at scale with key contributions in modeling, inference and learning.
Download or read book Methods of Developing and Integrating Knowledge Based Systems Applications written by BCS Specialist Group on Expert Systems and published by . This book was released on 1989 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Artificial Intelligence Abstracts written by and published by . This book was released on 1991 with total page 448 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Advanced Topics in Artificial Intelligence written by Vladimír Mařík and published by Springer. This book was released on 1992 with total page 504 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This volume contains the texts of 26 lectures and contributions to the program of the International Summer School on Advanced Topics in Artificial Intelligence held in Prague, Czechoslovakia, July 6-17, 1992. The summerschool was intended for (postgraduate) students, researchers and all those who want to learn about recent progress in both theoretical and applied AI. The papers in the volume are organized into nine parts: - Introduction - Logic and logic programming - Machine learning - Planning and scheduling - Uncertainty - Second generation expert systemsand knowledge engineering - Qualitative reasoning - Neurocomputing -Natural language and interfaces"--PUBLISHER'S WEBSITE.
Download or read book Methods of knowledge acquisition and integration of knowledge based systems applications written by and published by . This book was released on 1990 with total page 206 pages. Available in PDF, EPUB and Kindle. Book excerpt:
