Abstract. Products within a product family are composed of different component configurations where components have different variable features and a large amount of dependency re...
Bias/variance analysis is a useful tool for investigating the performance of machine learning algorithms. Conventional analysis decomposes loss into errors due to aspects of the le...
One of the major difficulties of handwriting recognition is the variability among symbols because of the different writer styles. In this paper we introduce the boosting of blurre...
Abstract. We present automated techniques for the explanation of counterexamples, where a counter-example should be understood as a sequence of program statements. Our approach is ...
Wavelet analysis has found widespread use in signal processing and many classification tasks. Nevertheless, its use in dynamic pattern recognition have been much more restricted ...