Titlebook: Intelligent Data Engineering and Automated Learning -- IDEAL 2011; 12th International C Hujun Yin,Wenjia Wang,Victor Rayward-Smith Conferen

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Linear Time Heuristics for Topographic Mapping of Dissimilarity Data,general dissimilarities rather than Euclidean vectors. Unlike its Euclidean counterpart, the technique has quadratic time complexity due to the underlying quadratic dissimilarity matrix. Thus, it is infeasible already for medium sized data sets. We introduce two approximation techniques which speed

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Interpreting Hidden Neurons in Boolean Constructive Neural Networks,two processes: (1) the definition of the NN architecture and (2) learning. Generally both processes alternate, depending on each others′ performance. During training CoNN algorithms incrementally add hidden neurons and connections to the network until some stopping criterion is satisfied. This paper

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An Experimental Study on Asymmetric Self-Organizing Map, the wider area of research than the textual data analysis. The results of our experimental study in the fields of sound recognition and heart rhythm recognition confirm this claim, and report the superiority of the asymmetric approach over the symmetric one, in both parts of our experiments.

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A Language Specification Tool for Model-Based Parsing, translation. When the use of an explicit model is required, its implementation requires the development of the conversion steps between the model and the grammar, and between the parse tree and the model instance. Whenever the language specification is modified, the developer has to manually propag

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Typical Testors Generation Based on an Evolutionary Algorithm,orithms that address the problem of finding the set of all typical testors have exponential complexity. In this paper, we propose to adapt an evolutionary method, the Hill-Climbing algorithm, with an acceleration operator in mutation process, to address this problem in polinomial time. Experimental

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SVM Approach to Classifying Lesions in USG Images with the Use of the Gabor Decomposition,images. USG images of the gallbladder were first processed by the histogram normalisation transformation to improve their contrast, and the gallbladder shape was segmented using active contour models. Then the background area of uneven contrast was eliminated from images. To extract features from th

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Online Labelling Strategies for Growing Neural Gas,sification problems, provided they are extended with an appropriate labelling function. Most approaches along these lines have so far relied on strategies which label neurons a posteriori, after the training has been completed. As a consequence, such approaches require the training data to be stored

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