Titlebook: Soft Computing in Information Retrieval; Techniques and Appli Fabio Crestani,Gabriella Pasi Book 2000 Physica-Verlag Heidelberg 2000 Bayesi

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Application of Fuzzy Set Theory to Extend Boolean Information Retrieval the formulation of the information needs. The aim of this con-tribution is to show how the fuzzy Boolean information retrieval models are more flexible in representing both document contents and information needs; this char-acteristics is provided by their ability to represent and manage linguistic concepts having a gradual nature.

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OWL

Large Population or Many Generations for Genetic Algorithms? Implications in Information Retrievaltical analysis providing explanation of the experimental results. The general conclusion tends to be that larger populations have better chance of significantly improving the effectiveness of retrieval.

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1434-9922 formation. The aim of an IR system is to estimate the relevance of documents to users‘ information needs, expressed by means of a query. This is a very difficult and complex task, since it is pervaded with imprecision and uncertainty. Most of the existing IR systems offer a very simple model of IR,

LANCE

Cursory

A Connectionist Approach to Content Access in Documents: Application to Detection of JokesThis paper addresses the question of accessing the content of documents. Drawing from similarities between vision and language, a connectionist architecture was designed that can use context information for the “understanding” of content. The principles of the approach are illustrated by the problem of understanding jokes.

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978-3-7908-2473-5Physica-Verlag Heidelberg 2000

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Studies in Fuzziness and Soft Computinghttp://image.papertrans.cn/s/image/870524.jpg

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https://doi.org/10.1007/978-3-7908-1849-9Bayesian network; algorithms; classification; data mining; fuzzy; fuzzy sets; genetic algorithms; informati