Displaying similar documents to “Hierarchical text categorization using fuzzy relational thesaurus”

A multistrategy approach for digital text categorization.

María Dolores Castillo, José Ignacio Serrano (2005)

Mathware and Soft Computing

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The goal of the research described here is to develop a multistrategy classifier system that can be used for document categorization. The system automatically discovers classification patterns by applying several empirical learning methods to different representations for preclassified documents. The learners work in a parallel manner, where each learner carries out its own feature selection based on evolutionary techniques and then obtains a classification model. In classifying documents,...

The Diamond Tool: a way of effective development and utilization of knowledge

Zdenko Staníček, Filip Procházka (2004)

Kybernetika

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This paper presents the Diamond Tool for knowledge management. The main objective of its specification and implementation was to create a universal and easily extendable tool for efficient work with knowledge. One of its extensions is the eTrium technology. The principal idea behind this technology is to represent explicitly the knowledge used by the information system by means of a knowledge agent built on the Diamond Tool – in contrary to current approaches, where knowledge is present...

Building a knowledge base for correspondence analysis.

M.ª Carmen Bravo Llatas (1994)

Qüestiió

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This paper introduces a statistical strategy for Correspondence Analysis. A formal description of the choices, actions and decisions taken during data analysis is built. Rules and heuristics have been obtained from the application of this technique to real case studies. The strategy proposed checks suitability of certain types of data matrices for this analysis and also considers a guidance and interpretation of the application of this technique. Some algorithmic-like rules...

Featureless pattern classification

Robert P. W. Duin, Dick de Ridder, David M. J. Tax (1998)

Kybernetika

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In this paper the possibilities are discussed for training statistical pattern recognizers based on a distance representation of the objects instead of a feature representation. Distances or similarities are used between the unknown objects to be classified with a selected subset of the training objects (the support objects). These distances are combined into linear or nonlinear classifiers. In this approach the feature definition problem is replaced by finding good similarity measures....

Towards a logic of semiotic systems

Constantin Thiopoulos (1992)

Mathématiques et Sciences Humaines

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The rationalistic denotational approach to semantics is not adequate for capturing the structural dimension of meaning, which is immanent in semiotic systems. The demand for a structural approach to semantics is intensified by a turn in Artificial Intelligence, introduced by Connectionism and Information Retrieval. This paper presents such a structural approach to semantics founded on the phenomenological and autopoietic paradigms and proposes a formalization with the help of category...