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Record Nr. |
UNISA996465524103316 |
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Titolo |
Knowledge Acquisition, Modeling and Management [[electronic resource] ] : 10th European Workshop, EKAW'97, Sant Feliu de Guixols, Catalonia, Spain, October 15-18, 1997. Proceedings / / edited by Enric Plaza, Richard Benjamins |
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Pubbl/distr/stampa |
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Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 1997 |
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ISBN |
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Edizione |
[1st ed. 1997.] |
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Descrizione fisica |
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1 online resource (XII, 396 p.) |
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Collana |
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Lecture Notes in Artificial Intelligence ; ; 1319 |
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Disciplina |
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Soggetti |
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Artificial intelligence |
Artificial Intelligence |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Bibliographic Level Mode of Issuance: Monograph |
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Nota di contenuto |
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Acquisition of search knowledge -- A systematic approach to the functionality of problem-solving methods -- An ontology approach to product disassembly -- Knowledge refinement for a design system -- Compositional verification of knowledge-based systems: A case study for diagnostic reasoning -- An enterprise reference scheme for integrating model based knowledge engineering and enterprise modelling -- The tower-of-adapters method for developing and reusing problem-solving methods -- Using ontologies for defining tasks, problem-solving methods and their mappings -- An empirical evaluation of a system for text knowledge acquisition -- Acquisition of conceptual structure in scientific theories -- Designing operators for constructing domain knowledge ontologies -- Reuse of problem-solving methods and family resemblances -- Specification of flexible knowledge-based systems -- Problem solving for redesign -- The notion of role in conceptual modeling -- Knowledge acquisition first, modelling later -- Knowledge acquisition for the onboard planner of an autonomous spacecraft -- Information tuning with KARAT: Capitalizing on existing documents -- Syntactic parsing as a knowledge acquisition problem -- Building up and making use of corporate knowledge repositories -- Modelling competitive co-operation of agents in a |
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compositional multi-agent framework -- An instrument for a purpose driven comparison of modelling frameworks -- Knowledge discovery in rule bases -- Supporting probability elicitation by sensitivity analysis -- Towards more collaboration between machine learning systems and their users -- COATIS, an NLP system to locate expressions of actions connected by causality links -- Using knowledge acquisition to build spoken language systems -- An assistant for a design project: Application to the design of a mixed hardware/software architecture -- REVINOS : An interactive revision tool based on the concept of situation -- KIDS for KADS -- Exploiting inductive bias shift in knowledge acquisition from ill-structured domains -- The DARPA high performance knowledge bases programme. |
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Sommario/riassunto |
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This volume constitutes the refereed proceedings of the 10th European Workshop on Knowledge Acquisition, Modelling and Management, EKAW '97, held in Sant Feliu de Guixols, Catalonia, Spain, in October 1997. The 20 revised full papers and 11 short papers presented were carefully selected from numerous submissions. Also included is one invited presentation. Among the topics covered are the mainstream knowledge acquisition issues, but also more innovative ones, knowledge integration, enterprise modelling, knowledge reuse, natural language processing, problem solving, knowledge extraction, Web-based knowledge systems, machine learning, data mining, etc. |
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2. |
Record Nr. |
UNINA9910484208903321 |
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Autore |
Quirk Thomas J |
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Titolo |
Excel 2019 for Engineering Statistics : A Guide to Solving Practical Problems / / by Thomas J. Quirk |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
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ISBN |
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Edizione |
[2nd ed. 2020.] |
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Descrizione fisica |
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1 online resource (XVII, 250 p. 166 illus., 161 illus. in color.) |
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Collana |
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Excel for Statistics, , 2570-4605 |
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Disciplina |
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Soggetti |
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Statistics |
Applied mathematics |
Engineering mathematics |
Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences |
Statistics and Computing/Statistics Programs |
Mathematical and Computational Engineering |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Preface -- Acknowledgements -- 1 Sample Size, Mean, Standard Deviation, and Standard Error of the Mean -- 2 Random Number Generator -- 3 Confidence Interval About the Mean Using the TINV Function and Hypothesis Testing -- 4 One-Group t-Test for the Mean -- 5 Two-Group t-Test of the Difference of the Means for Independent Groups -- 6 Correlation and Simple Linear Regression -- 7 Multiple Correlation and Multiple Regression -- 8 One-Way Analysis of Variance (ANOVA) -- Appendix A: Answers to End-of-Chapter Practice Problems -- Appendix B: Practice Test -- Appendix C: Answers to Practice Test -- Appendix D: Statistical Formulas -- Appendix E: t-table -- Index. |
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Sommario/riassunto |
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Newly revised to specifically address Microsoft Excel 2019, this book shows the capabilities of Excel in teaching engineering statistics effectively. Similar to the previously published Excel 2016 for Engineering Statistics, this volume is a step-by-step, exercise-driven guide for students and practitioners who need to master Excel to solve practical engineering problems. Excel, a widely available computer |
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program for students and professionals, is also an effective teaching and learning tool for quantitative analyses in engineering courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. Excel 2019 for Engineering Statistics capitalizes on these improvements by teaching readers how to apply Excel to statistical techniques necessary in their courses and work. Each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand engineering problems. Practice problems are provided at the end of each chapter with their solutions in an appendix. Separately, there is a full practice test (with answers in an appendix) that allows readers to test what they have learned. This new edition features a wealth of new sample problems and solutions, as well as updated chapter content throughout. |
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