Kareem Carr

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We propose a feature vector approach to characterize the variation in large data sets of biological sequences. Each candidate sequence produces a single feature vector constructed with the number and location of amino acids or nucleic acids in the sequence. The feature vector characterizes the distance between the actual sequence and a model of a(More)
In this paper we present a novel variant of an on-line learning ART neural network algorithm. More specifically, we equip the semi-supervised Fuzzy ARTMAP classifier with a new learning strategy encompassing a new, slowlearning rule and a new type of match tracking, according to which category updates or creations are reduced to a minimum to control the(More)
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