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Browsing South African Computer Journal 1998(21) by Title

Browsing South African Computer Journal 1998(21) by Title

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  • Clarke, MC; Finnie, GR (South African Computer Society (SAICSIT), 1998)
    A modified version of Lee's instrument for measuring attitudes to computers was administered to two groups of first-year university students separated by a period of twelve years. Factor analysis was applied to these two ...
  • Cloete, E; Venter, LM (South African Computer Society (SAICSIT), 1998)
    Conventional image compression strategies present a number of uncomfortable limitations. Many of the impediments can be overcome by Fractal Image Compression (FIC). FIC is rooted strongly in mathematics. In comparison to ...
  • Knottenbelt, W; Kritzinger, P (South African Computer Society (SAICSIT), 1998)
    Despite many advances in queueing theory and other modelling paradigms, one persistenty discovers real life stochastic systems which do not yield neatly to existing methods for their performance analysis. In most such ...
  • Machanick, P; Salverda, P (South African Computer Society (SAICSIT), 1998)
    The RAMpage memory hierarchy addresses the growing concern about the memory wall - the possibility that the CPU­-DRAM speed gap will ultimately limit the benefits of rapid improvement in CPU speed. Reducing references to ...
  • Tcheeko, L (South African Computer Society (SAICSIT), 1998)
    The pedagogical assessment of a tutoring system relies upon a proof of convergence: for such a tutor the correction of student mistakes must not forever delay the teaching process. Such a tutor must provide uniform diagnosis ...
  • Ram, V (South African Computer Society (SAICSIT), 1998)
    Shared beliefs and knowledge are an integral part of an organisation's identity and a prerequisite for collective func­tioning. Multiagent systems that support or emulate cooperative problem solving in such a context cannot ...
  • Paijmans, H (South African Computer Society (SAICSIT), 1998)
    A number of methods for feature reduction and feature selection in text classification and information retrieval systems are compared. These include feature sets that are constructed by Latent Semantic Indexing, 'local ...

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