Titlebook: Innovations in Applied Artificial Intelligence; 17th International C Bob Orchard,Chunsheng Yang,Moonis Ali Conference proceedings 2004 Spri

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Gene Discovery in Leukemia Revisited: A Computational Intelligence Perspective. A small number of genes with high discrimination power were found, some of which were not previously reported. It was found that subtle differences between very similar genes belonging to the same cluster, as well as the number of clusters constructed, affect the discovery of relevant genes. Good

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Cell Modeling Using Agent-Based Formalismsy is beginning to look at alternatives to traditional representations such as those provided by ordinary differential equations (ODE). Making use of the object-oriented (OO) paradigm, the Unified Modeling Language (UML) and Real-time Object-Oriented Modeling (ROOM) visual formalisms, we describe a s

FLORA

Computational Identification of RNA Motifs in Genome Sequencesin genomic databases using known 2-D conformations. The first experimental implementation was to attempt to identify the yeast mitochondrial 5S rRNA in the yeast, ., nuclear genome. A . was designed to identify sequences that maintain most of the conserved elements in all known 5S rRNAs. This search

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An Extensible Framework for Knowledge-Based Multimedia Adaptationke, e.g., distance learning or online training. In parallel, the rapid evolution in the hardware sector brought up various new (mobile) end user devices like pocket PCs or mobile phones that are capable of displaying such content. Due to the different capabilities and usage environments of these dev

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Methods for Reducing the Number of Representatives in Representation Choice Tasks represent a given set of objects. For solving this problem in the most of cases one defines a distance function between objects and representation choice functions (choice criteria). However, it often happens that the number of representatives is too large, what in many practical situations is not

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