Titlebook: Applied Computing; Second Asian Applied Suresh Manandhar,Jim Austin,Asoke K. Talukder Conference proceedings 2004 Springer-Verlag Berlin He

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Suresh Manandhar,Jim Austin,Asoke K. TalukderIncludes supplementary material:

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Carcinogenesis

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https://doi.org/10.1007/b101591LPC; Navigation; algorithms; combinatorial optimization; cryptography; intelligent information processing

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Progressive Boosting for Classifier Committee Learning an empirical evaluation of a variant of this method shows that the progressive boosting can significantly reduce the error rate of decision tree learning. On average this is more accurate than bagging and boosting.

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Neural Network and Wavelets in Arrhythmia Classificationcond approach, arrhythmia information is represented in terms of wavelet packet (WP) coefficients. In addition to the information about RR interval, QRS duration, amplitude of R-peak and a set of DWT/WP coefficients are selected from the wavelet decomposition. Multilayer feedforward ANNs employ erro