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    <dc:date>2010-08-18T01:00:43Z</dc:date>
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  <item rdf:about="http://hdl.handle.net/10292/858">
    <title>Woven Flesh</title>
    <link>http://hdl.handle.net/10292/858</link>
    <description>Title: Woven Flesh
Authors: Refiti, A.</description>
    <dc:date>2010-04-22T02:18:02Z</dc:date>
  </item>
  <item rdf:about="http://hdl.handle.net/10292/861">
    <title>Whiteness, Smoothing and the Origin of Samoan Architecture</title>
    <link>http://hdl.handle.net/10292/861</link>
    <description>Title: Whiteness, Smoothing and the Origin of Samoan Architecture
Authors: Refiti, A.</description>
    <dc:date>2010-04-22T02:18:04Z</dc:date>
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  <item rdf:about="http://hdl.handle.net/10292/594">
    <title>WDN-RBF: Weighted data normalization for radial basic function type neural networks</title>
    <link>http://hdl.handle.net/10292/594</link>
    <description>Title: WDN-RBF: Weighted data normalization for radial basic function type neural networks
Authors: Song, Q.; Kasabov, Nikola.
Abstract: This paper introduces an approach of Weighted Data Normalization (WDN) for Radial Basis Function (RBF) type of neural networks. It presents also applications for medical decision support systems. The WDN method optimizes the data normalization ranges for the input variables of the neural network. A steepest descent algorithm (BP) is used for the WDN-RBF learning. The derived weights have the meaning of feature importance and can be used to select a minimum set of variables (features) that can optimize the performance of the RBF network model. The WDN-RBF is illustrated on two case study prediction/identification problems. The first one is prediction of the Mackey-Glass time series and the second one is a real medical decision support problem of estimating the level of renal functions in patients. The method can be applied to other distance-based, prototype learning neural network models.</description>
    <dc:date>2009-05-27T22:18:49Z</dc:date>
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  <item rdf:about="http://hdl.handle.net/10292/566">
    <title>The waterfall is dead - Long live the waterfall!!</title>
    <link>http://hdl.handle.net/10292/566</link>
    <description>Title: The waterfall is dead - Long live the waterfall!!
Authors: Clear, T.
Abstract: I find myself now in the throes of rewriting the guide I provide to our students undertaking their capstone software development projects. Like many such artifacts it has evolved over time and is an amalgam of my own and prior colleagues’ thoughts, informed by numerous sources from the literature. However, we are now at some form of watershed, experiencing an increasing level of discomfort with the existing guide and the schedule we have applied for assessing students’ work.</description>
    <dc:date>2009-05-27T22:14:27Z</dc:date>
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  <item rdf:about="http://hdl.handle.net/10292/634">
    <title>Visualizing the meaning of texts</title>
    <link>http://hdl.handle.net/10292/634</link>
    <description>Title: Visualizing the meaning of texts
Authors: Yeap, W.; Reedy, P.; Min, K.; Ho, H.
Abstract: We implemented SmartINFO, an experimental system for the visualization of the meaning of texts. SmartINFO consists of 4 modules: a universal grammar engine (UGE), an anaphora engine, a concept engine and a visualization engine. We discuss two methods of visualizing meanings of text. One approach is a word-centered approach and the other, a clausal-centered approach. © 2005 IEEE.</description>
    <dc:date>2009-05-27T22:22:15Z</dc:date>
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  <item rdf:about="http://hdl.handle.net/10292/611">
    <title>A versatile quantum-inspired evolutionary algorithm</title>
    <link>http://hdl.handle.net/10292/611</link>
    <description>Title: A versatile quantum-inspired evolutionary algorithm
Authors: Platel, M.; Sehliebs, S.; Kasabov, Nikola.
Abstract: This study points out some weaknesses of existing Quantum-Inspired Evolutionary Algorithms (QEA) and explains in particular how hitchhiking phenomenons can slow down the discovery of optimal solutions and encourage premature convergence. A new algorithm, called Versatile Quantum-inspired Evolutionary Algorithm (vQEA), is proposed. With vQEA, the attractors moving the population through the search space are replaced at every generation without considering their fitness. The new algorithm is much more reactive. It always adapts the search toward the last promising solution found thus leading to a smoother and more efficient exploration. In this paper, vQEA is tested and compared to a Classical Genetic Algorithm CGA and to a QEA on several benchmark problems. Experiments have shown that vQEA performs better than both CGA and QEA in terms of speed and accuracy. It is a highly scalable algorithm as well. Finally, the properties of the vQEA are discussed and compared to Estimation of Distribution Algorithms (EDA). © 2007 IEEE.</description>
    <dc:date>2009-05-27T22:18:54Z</dc:date>
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  <item rdf:about="http://hdl.handle.net/10292/559">
    <title>Valuing computer science education research?</title>
    <link>http://hdl.handle.net/10292/559</link>
    <description>Title: Valuing computer science education research?
Authors: Clear, T.
Abstract: This paper critically enquires into the value systems which rule the activities of teaching and research. This critique is intended to demonstrate the application of critical enquiry in Computer Science Education Research and therefore uses critical theory as a method of analysis.A framework of Research as a Discourse is applied to explore how the notions of research as opposed to teaching are presented, and how discipline and research communities are sustained. The concept of a discourse, based upon the work of Foucault, enables critical insight into the processes which regulate forms of thought. This paper positions the field of Computer Science Education Research, as an illustrative case, within the broader discourse of Research, and argues that Computer Science Education Researchers and educators need to understand and engage in this discourse and shape it to their own ends.</description>
    <dc:date>2009-05-27T22:14:25Z</dc:date>
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  <item rdf:about="http://hdl.handle.net/10292/572">
    <title>Using IT for active student feedback in the Learning Environment</title>
    <link>http://hdl.handle.net/10292/572</link>
    <description>Title: Using IT for active student feedback in the Learning Environment
Authors: Clear, T.
Abstract: This paper describes the use of a web-based groupware product (specifically a Lotus NotesTM &amp; DominoTM discussion database), as a means of gaining direct and regular feedback from students on the progress of a course. Some of the pitfalls and issues are discussed, including motivation for use, barriers to effective feedback, the value of anonymity and appropriate netiquette. Some recommendations are made for others wishing to use such a feedback mechanism, and for those who do not have Lotus Notes installed, how a feedback system such as this might be implemented in some other web based product.</description>
    <dc:date>2009-05-27T22:14:28Z</dc:date>
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