Ripple Down Rules
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Ripple Down Rules
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Author : Paul Compton
language : en
Publisher: CRC Press
Release Date : 2021-05-30
Ripple Down Rules written by Paul Compton and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-30 with Computers categories.
This is the first book to explain Ripple-Down Rules, an approach to building knowledge-based systems which is more similar to machine learning methods than other rule-based systems but which depends on using an expert rather than applying statistics to data The book provides detailed worked examples and uses publicly available software to demonstrate Ripple-Down Rules The examples enable users to build their own RDR tools
Ai 92 Proceedings Of The 5th Australian Joint Conference On Artificial Intelligence
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Author : A Adams
language : en
Publisher: World Scientific
Release Date : 1992-10-09
Ai 92 Proceedings Of The 5th Australian Joint Conference On Artificial Intelligence written by A Adams and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992-10-09 with categories.
The papers in this volume deal with academic research topics as well as practical applications in AI. Special emphasis is given to computer vision, machine learning, neural networks mixed with theory of logic and reasoning, and practical applications of expert systems in industry and decision support.
Ripple Down Rules
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Author : Paul Compton
language : en
Publisher: CRC Press
Release Date : 2021-05-30
Ripple Down Rules written by Paul Compton and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-30 with Computers categories.
Machine learning algorithms hold extraordinary promise, but the reality is that their success depends entirely on the suitability of the data available. This book is about Ripple-Down Rules (RDR), an alternative manual technique for rapidly building AI systems. With a human in the loop, RDR is much better able to deal with the limitations of data. Ripple-Down Rules: The Alternative to Machine Learning starts by reviewing the problems with data quality and the problems with conventional approaches to incorporating expert human knowledge into AI systems. It suggests that problems with knowledge acquisition arise because of mistaken philosophical assumptions about knowledge. It argues people never really explain how they reach a conclusion, rather they justify their conclusion by differentiating between cases in a context. RDR is based on this more situated understanding of knowledge. The central features of a RDR approach are explained, and detailed worked examples are presented for different types of RDR, based on freely available software developed for this book. The examples ensure developers have a clear idea of the simple yet counter-intuitive RDR algorithms to easily build their own RDR systems. It has been proven in industrial applications that it takes only a minute or two per rule to build RDR systems with perhaps thousands of rules. The industrial uses of RDR have ranged from medical diagnosis through data cleansing to chatbots in cars. RDR can be used on its own or to improve the performance of machine learning or other methods.
Advances In Artificial Intelligence
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Author : Jacques Wainer
language : en
Publisher: Springer Science & Business Media
Release Date : 1995-09-27
Advances In Artificial Intelligence written by Jacques Wainer and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995-09-27 with Computers categories.
Invited papers; knowledge representation and automated reasoning; tutoring systems; machine learning; neural networks; distributed AI; knowledge acquisition and knowledge bases; posters.
Ai 88
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Author : Christopher J. Barter
language : en
Publisher: Springer Science & Business Media
Release Date : 1990-03-07
Ai 88 written by Christopher J. Barter and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 1990-03-07 with Computers categories.
The broad objective of this conference series is to bring business, industry and researchers together to consider the current activities and future potential of artificial intelligence, encompassing both practical and theoretical issues. Many papers were submitted, including some from Canada, France, UK, USA, Sweden, Italy and Thailand.
Rough Sets Fuzzy Sets Data Mining And Granular Computing
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Author : Dominik Ślęzak
language : en
Publisher: Springer Science & Business Media
Release Date : 2005
Rough Sets Fuzzy Sets Data Mining And Granular Computing written by Dominik Ślęzak and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Artificial intelligence categories.
This volume contains the papers selected for presentation at the 10th International Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, RSFDGrC 2005, organized at the University of Regina, August 31st–September 3rd, 2005.
Ai 2001 Advances In Artificial Intelligence
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Author : Markus Stumptner
language : en
Publisher: Springer Science & Business Media
Release Date : 2001-11-28
Ai 2001 Advances In Artificial Intelligence written by Markus Stumptner and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-11-28 with Computers categories.
This book constitutes the refereed proceedings of the 14th Australian Joint Conference on Artificial Intelligence, AI 2001, held in Adelaide, Australia, in December 2001. The 55 revised full papers presented together with one invited contribution were carefully reviewed and selected from a total of 100 submissions. The papers cover the whole range of artificial intelligence from theoretical and foundational issues to advanced applications in a variety of fields.
Knowledge Management And Acquisition For Intelligent Systems
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Author : Deborah Richards
language : en
Publisher: Springer
Release Date : 2012-08-30
Knowledge Management And Acquisition For Intelligent Systems written by Deborah Richards and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-08-30 with Computers categories.
This book constitutes the proceedings of the 12th International Workshop on Knowledge Management and Acquisition for Intelligent Systems, PKAW 2012, held in Kuching, Malaysia, in September 2012. The 21 full papers and 11 short papers included in this volume were carefully reviewed and selected from 141 papers. They deal with knoweldge acquisition issues and evaluation; language, text and image processing; incremental knowledge acquisition; agent based knowledge acquisition and management; ontology-based approaches; WEB 2.0 methods and applications; and other applications.
Rough Sets Fuzzy Sets Data Mining And Granular Computing
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Author : Dominik Slezak
language : en
Publisher: Springer
Release Date : 2005-09-14
Rough Sets Fuzzy Sets Data Mining And Granular Computing written by Dominik Slezak and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-09-14 with Computers categories.
This volume contains the papers selected for presentation at the 10th Int- national Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, RSFDGrC 2005, organized at the University of Regina, August 31st–September 3rd, 2005. This conference followed in the footsteps of inter- tional events devoted to the subject of rough sets, held so far in Canada, China, Japan,Poland,Sweden, and the USA. RSFDGrC achievedthe status of biennial international conference, starting from 2003 in Chongqing, China. The theory of rough sets, proposed by Zdzis law Pawlak in 1982, is a model of approximate reasoning. The main idea is based on indiscernibility relations that describe indistinguishability of objects. Concepts are represented by - proximations. In applications, rough set methodology focuses on approximate representation of knowledge derivable from data. It leads to signi?cant results in many areas such as ?nance, industry, multimedia, and medicine. The RSFDGrC conferences put an emphasis on connections between rough sets and fuzzy sets, granularcomputing, and knowledge discoveryand data m- ing, both at the level of theoretical foundations and real-life applications. In the case of this event, additional e?ort was made to establish a linkage towards a broader range of applications. We achieved it by including in the conference program the workshops on bioinformatics, security engineering, and embedded systems, as well as tutorials and sessions related to other application areas.
Engineering Knowledge In The Age Of The Semantic Web
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Author : Enrico Motta
language : en
Publisher: Springer
Release Date : 2011-03-22
Engineering Knowledge In The Age Of The Semantic Web written by Enrico Motta and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-03-22 with Computers categories.
The central themes of the 14th International Conference on Knowledge Engineering and Knowledge Management (EKAW 2004) were ontological engineering and the Semantic Web. These provide the key foundational and delivery mechanisms for building open, Web-based knowledge services. However, consistent with the tradition of EKAW conferences, EKAW 2004 was concerned with all aspects of eliciting, acquiring, modelling and managing knowledge, and its role in the construction of knowledge-intensive systems. Indeed a key aspect of the Knowledge Acquisition Workshops (KAWs) held in the US, Europe and Asia over the past 20 years has been the emphasis on ‘holistic’ knowledge engineering, addressing problem solving, usability, socio-technological factors and knowledge modelling, rather than simply analyzing and designing symbol-level inferential mechanisms. The papers included in this volume are thus drawn from a variety of research areas both at the cutting edge of research in ontologies and the Semantic Web and in the more traditionally grounded areas of knowledge engineering. A Semantic Web service can be seen as the addition of semantic technologies to Web services to produce Web-accessible services that can be described using appropriate ontologies, reasoned about and combined automatically. Since Web services can be seen as Web-accessible computational objects, much of the work in this area is also concerned with problem-solving methods (PSMs).