Computing with WordsPaul P. Wang Wiley, 2001 M04 30 - 466 pages Fuzzy logic refers to a computer's ability to make decisions involving "grey" or "fuzzy" areas. As linguistics contains numerous "grey" areas, computing with words through the use of fuzzy logic is an extremely hot topic in database and Internet research. This book explores the state of the art in linguistic computation, discussing how current research findings are extending the application of fuzzy logic beyond control engineering and intelligent systems into the use of language on a computer. Fuzzy logic pioneer, Dr. Lofti Zadeh, provides the introduction for this thought-provoking work. |
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Page 215
... learning cost will be relatively high . If besides the minimum training , the user decides to select the important phrases from the training examples , the rules can be learned based only on the important phrases . Thus the training ...
... learning cost will be relatively high . If besides the minimum training , the user decides to select the important phrases from the training examples , the rules can be learned based only on the important phrases . Thus the training ...
Page 233
... learning of pattern - match rules for information extraction , in Proc . Computational Language Learning'97 , 1997 . 8. J. Chai , Learning and generalization in the creation of information extraction systems , Ph.D. thesis , Department ...
... learning of pattern - match rules for information extraction , in Proc . Computational Language Learning'97 , 1997 . 8. J. Chai , Learning and generalization in the creation of information extraction systems , Ph.D. thesis , Department ...
Page 280
... Learning meant changing the pattern of response to a given stimulus . Thus the fruit of learning was knowing how to respond to a sti- mulus in order to get a reward ; there was no place in behaviorism for knowing that any proposition ...
... Learning meant changing the pattern of response to a given stimulus . Thus the fruit of learning was knowing how to respond to a sti- mulus in order to get a reward ; there was no place in behaviorism for knowing that any proposition ...
Contents
MEYSTEL Department of Electrical and Computer Engineering | 1 |
FROM COMPUTING WITH NUMBERS TO COMPUTING WITH | 32 |
THE PROBLEMS | 69 |
Copyright | |
13 other sections not shown
Common terms and phrases
adverbs agents aggregation algorithms analysis applications approach artificial intelligence Bandler basic BK-products body systems Clinaid cognitive linguistic cognitive sciences complex computational semiotics computational verb computing with words concept constraint propagation context coreference crisp decision defined Definition domain dynamic entities environment example expressed extraction FDNF Figure formal front end fuzzy constraint fuzzy graph fuzzy information granulation fuzzy logic fuzzy relations Fuzzy Sets Syst grammar granularity human identified IEEE important inference input intelligent systems interpretation knowledge representation L. A. Zadeh L. J. Kohout labels language discourse linear linguistic terms linguistic variable mathematical meaning natural language processing neural objects operator perceptions performance phrase precision predicate principle problem Proc procedures propositions query reasoning relational computations relational structures represented rules SCIP Section semantic semiotic descriptors sentence specific syntactic texts theory tion truth tables ural language values WordNet