Assembling a gene from candidate exons is an important problem in computational biology. Among the most successful approaches to this problem is spliced alignment, proposed by Gelf...
Abstract. The problem of finding an agreement on the meaning of heterogeneous schemas is one of the key issues in the development of the Semantic Web. In this paper, we propose a ...
We develop a novel multi-class classification method based on output codes for the problem of classifying a sequence of amino acids into one of many known protein structural class...
Eugene Ie, Jason Weston, William Stafford Noble, C...
Multi-task learning (MTL) aims to improve generalization performance by learning multiple related tasks simultaneously. In this paper, we consider the problem of learning shared s...
Abstract. Processing compressed strings without decompression is often essential when dealing with massive data sets. We consider local subsequence recognition problems on strings ...