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Browsing School of Computing by Author "Cloete, I"

Browsing School of Computing by Author "Cloete, I"

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  • Animating neural network training 
    van der Poel, E; Cloete, I (South African Computer Society (SAICSIT), 1992)
    In Artificial Neural Network (ANN) simulation it is usually necessary to examine the behaviour of the ANN and detect problems if they occur. However, due to the large volume and high dimensionality of data generated during ...
  • Automatically linking words and concepts in an Afrikaans dictionary 
    Theron, PZ; Cloete, I (South African Computer Society (SAICSIT), 1992)
    The problem of automatic acquisition of lexical-semantic relations for Afrikaans nouns from a dictionary is addressed. The acquisition process is improved over previous approaches by implementing both typographic constraints ...
  • Beam search in attribute-based concept induction 
    Theron, H; Cloete, I (South African Computer Society (SAICSIT), 1992)
    Thi spaper investigates the issues of specializing only a single best conjunction to employing a beam search when learning attribute-based concept descriptions using the GCA algorithm. We describe GCA, a recently introduced ...
  • CID3: an extension of ID3 for attributes with ordered domains 
    Cloete, I; Theron, H (South African Institute of Computer Scientists and Information Technologists, 1991)
    Quinlan's ID3 is a popular and efficient algorithm for inducing decision trees from concept examples, where the examples are presented as vectors of attribute-value pairs. If some attributes have integer or real domains ...
  • A framework for executing multiple computational intelligent programs 
    Viktor, HL; Cloete, I (1996)
    Computational intelligent programs are capable of discovering interesting relationships contained in "raw" data. These programs, including artificial neural networks, set covering algorithms and decision trees, have been ...
  • Modular neural networks subroutines for knowledge extraction 
    Vahed, A; Cloete, I (1996)
    Current research in modular neural networks (MNNs) have essentially two aims; to model systematic methods for constructing neural networks of high complexity and secondly, to provide building blocks for hybrid symbolic- ...
  • Simplification of rules extracted from neural networks 
    Viktor, HL; Cloete, I (1995)
    Artificial neural networks (ANNs) have been proven to be successful general machine learning techniques for, amongst others, pattern recognition and classification. Realworld problems in agriculture (soybean, tea), ...
  • Specialization by exclusion 
    Theron, H; Cloete, I (South African Computer Society (SAICSIT), 1994)
    This paper presents a theoretical analysis of the search schemes employed by AQ, CN2 and the recently introduced BEXA algorithm. These covering algorithms induce disjunctive concept descriptions, and employ a general-to-specific ...
  • Training strategies for architecture-specific recurrent neural networks 
    Ludik, J; Cloete, I (South African Computer Society (SAICSIT), 1995)
    The typical approach taken by other researchers to address the defects of standard backpropagation is to investigate alternative methods for selecting initial parameter values, or for adjusting parameter values during BP ...

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