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Empirical Methods for Artificial Intelligence

Empirical Methods for Artificial Intelligence PDF Author: Paul R. Cohen
Publisher: Bradford Books
ISBN: 9780262032254
Category : Computers
Languages : en
Pages : 405

Book Description
This book presents empirical methods for studying complex computer programs: exploratory tools to help find patterns in data, experiment designs and hypothesis-testing tools to help data speak convincingly, and modeling tools to help explain data.

Empirical Methods for Artificial Intelligence and Computer Science

Empirical Methods for Artificial Intelligence and Computer Science PDF Author: Paul R. Cohen
Publisher:
ISBN:
Category :
Languages : en
Pages : 132

Book Description


Empirical Methods for Artificial Intelligence

Empirical Methods for Artificial Intelligence PDF Author: Paul R. Cohen
Publisher: Bradford Books
ISBN: 9780262032254
Category : Computers
Languages : en
Pages : 405

Book Description
This book presents empirical methods for studying complex computer programs: exploratory tools to help find patterns in data, experiment designs and hypothesis-testing tools to help data speak convincingly, and modeling tools to help explain data.

Validity, Reliability, and Significance

Validity, Reliability, and Significance PDF Author: Stefan Riezler
Publisher: Springer Nature
ISBN: 3031570650
Category :
Languages : en
Pages : 179

Book Description


Empirical Methods in Natural Language Generation

Empirical Methods in Natural Language Generation PDF Author: Emiel Krahmer
Publisher: Springer Science & Business Media
ISBN: 3642155723
Category : Computers
Languages : en
Pages : 363

Book Description
Natural language generation (NLG) is a subfield of natural language processing (NLP) that is often characterized as the study of automatically converting non-linguistic representations (e.g., from databases or other knowledge sources) into coherent natural language text. In recent years the field has evolved substantially. Perhaps the most important new development is the current emphasis on data-oriented methods and empirical evaluation. Progress in related areas such as machine translation, dialogue system design and automatic text summarization and the resulting awareness of the importance of language generation, the increasing availability of suitable corpora in recent years, and the organization of shared tasks for NLG, where different teams of researchers develop and evaluate their algorithms on a shared, held out data set have had a considerable impact on the field, and this book offers the first comprehensive overview of recent empirically oriented NLG research.

Empirical Evaluation Methods in Computer Vision

Empirical Evaluation Methods in Computer Vision PDF Author: Henrik I. Christensen
Publisher: World Scientific
ISBN: 9810249535
Category : Science
Languages : en
Pages : 170

Book Description
This book provides comprehensive coverage of methods for the empirical evaluation of computer vision techniques. The practical use of computer vision requires empirical evaluation to ensure that the overall system has a guaranteed performance. The book contains articles that cover the design of experiments for evaluation, range image segmentation, the evaluation of face recognition and diffusion methods, image matching using correlation methods, and the performance of medical image processing algorithms.

Empirical Mehods For Artificial Intelligence

Empirical Mehods For Artificial Intelligence PDF Author: Paul R. Cohen
Publisher:
ISBN: 9788120325319
Category : Artificial intelligence
Languages : en
Pages : 405

Book Description


How to Lie with Statistics

How to Lie with Statistics PDF Author: Darrell Huff
Publisher: W. W. Norton & Company
ISBN: 0393070875
Category : Mathematics
Languages : en
Pages : 144

Book Description
If you want to outsmart a crook, learn his tricks—Darrell Huff explains exactly how in the classic How to Lie with Statistics. From distorted graphs and biased samples to misleading averages, there are countless statistical dodges that lend cover to anyone with an ax to grind or a product to sell. With abundant examples and illustrations, Darrell Huff’s lively and engaging primer clarifies the basic principles of statistics and explains how they’re used to present information in honest and not-so-honest ways. Now even more indispensable in our data-driven world than it was when first published, How to Lie with Statistics is the book that generations of readers have relied on to keep from being fooled.

Experimental Methods for Evaluating Planning Systems

Experimental Methods for Evaluating Planning Systems PDF Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 0

Book Description
The purpose of this research was to develop empirical tools that allow AI researchers to study their systems in a principled, systematic way. In the course of a three-year project the University of Massachusetts published over 30 refereed articles on empirical methods; a textbook, Empirical Methods for Artificial Intelligence; a web site devoted to research methods in AI and Computer Science; and over 40 papers at symposia, workshops, ad related forums. This final report contains summaries of the first two years of the project and the final year. The project went according to plan with one significant deviation. The project didn't envision the power of the World Wide Web. Technical results were planned to be delivered in conventional ways by publishing software and reports. By the second year of the project, it became clear that a web site devoted to empirical methods was required. MIT Press granted permission to post excerpt of the recently published book. Technical articles were posted, along with more of the tutorial and resource material, onto the web site. The Evaluation of Intelligent Systems (EIS) web site is completed, and much of the technology developed under this program - including the CLASP system - can be found there. As the web site address is changing in the near future, we refer interested readers to the Experimental Knowledge Systems Laboratory web site (http://www-eks1.cs.umass.), from which pointers to EIS may be followed.

Empirical Foundations of Information and Software Science III

Empirical Foundations of Information and Software Science III PDF Author: Jens Rasmussen
Publisher: Springer Science & Business Media
ISBN: 1461318955
Category : Computers
Languages : en
Pages : 275

Book Description
The monograph presents the proceedings of the Third Symposium on Empir ical Foundations of Information and Software Sciences (EFISS) held at the Riso National Laboratory in Roskilde, Denmark, 23-25 October 1985. The EFISS series of meetings was initiated with the express purpose of explor ing subjects and methods of scientific inquiry of empirical nature which are of common interest to information and software sciences. Furthermore, these meetings were expected to provide a cross-disciplinary forum for discussion of problems and exchange of research results of importance for the design and application of advanced information systems. The previous two EFISS symposia took place at the Georgia Institute of Technology in Atlanta, Georgia, USA. The first meeting in 1982 focused on methods of experimental design and measurement techniques in information and software sciences. The second meeting was held in 1984 and its main theme was the value of information in prescriptive contexts, such as value of information for understanding and implementation of these messages, instructions, and commands. Specific examples of problems of this kind are the value of comments for the enhancement of understanding of computer programs, the value of information in assisting and guiding users of on line interactive systems, and the value of lexical aids in information retrieval. In both symposia, contributed papers were considered on any other valid subject of empirical foundations of the said two sciences.

Empirical Foundations of Information and Software Science IV

Empirical Foundations of Information and Software Science IV PDF Author: Pranas Zunde
Publisher: Springer
ISBN:
Category : Computers
Languages : en
Pages : 552

Book Description