Computing with WordsPaul P. Wang Wiley, 30.04.2001 - 466 Seiten 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. |
Im Buch
Ergebnisse 1-3 von 19
Seite 213
... precision , recall , and F - measure [ 29 ] to give a quantitative evaluation of the system . The recall score measures the ratio of information correctly extracted against all relevant information in the texts . The precision score ...
... precision , recall , and F - measure [ 29 ] to give a quantitative evaluation of the system . The recall score measures the ratio of information correctly extracted against all relevant information in the texts . The precision score ...
Seite 222
... precision . WordNet synonyms and direct hypernyms are particularly useful in balancing the trade - off between precision and recall and thus improving the overall performance . We compared the experimental results from rules with pure ...
... precision . WordNet synonyms and direct hypernyms are particularly useful in balancing the trade - off between precision and recall and thus improving the overall performance . We compared the experimental results from rules with pure ...
Seite 230
... precision and recall numbers for the entire output . For an entity i , we define the precision and recall with respect to that entity in Figure 6.17 . The final precision and recall numbers are computed by the following two formulas : N ...
... precision and recall numbers for the entire output . For an entity i , we define the precision and recall with respect to that entity in Figure 6.17 . The final precision and recall numbers are computed by the following two formulas : N ...
Inhalt
MEYSTEL Department of Electrical and Computer Engineering | 1 |
FROM COMPUTING WITH NUMBERS TO COMPUTING WITH | 32 |
THE PROBLEMS | 69 |
Urheberrecht | |
13 weitere Abschnitte werden nicht angezeigt.
Andere Ausgaben - Alle anzeigen
Häufige Begriffe und Wortgruppen
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
Verweise auf dieses Buch
Classification and Modeling with Linguistic Information Granules: Advanced ... Hisao Ishibuchi,Tomoharu Nakashima,Manabu Nii Eingeschränkte Leseprobe - 2004 |
Applied Computational Intelligence: Proceedings of the 6th International ... Da Ruan Keine Leseprobe verfügbar - 2004 |