The sequence kernel has been shown to be a promising kernel function for learning from sequential data such as speech and DNA. However, it is not scalable to massive datasets due ...
Makoto Yamada, Masashi Sugiyama, Gordon Wichern, T...
Abstract. This paper presents a methodology for the design of a reconfigurable computing system applied to a complex problem in molecular Biology: the protein folding problem. An e...
Nilton B. Armstrong, Heitor S. Lopes, Carlos R. Er...
On modern architectures, the performance of 32-bit operations is often at least twice as fast as the performance of 64-bit operations. By using a combination of 32-bit and 64-bit ...
Marc Baboulin, Alfredo Buttari, Jack Dongarra, Jak...
The edit distance problem is a classical fundamental problem in computer science in general, and in combinatorial pattern matching in particular. The standard dynamic-programming s...
Danny Hermelin, Gad M. Landau, Shir Landau, Oren W...
The edit distance problem is a classical fundamental problem in computer science in general, and in combinatorial pattern matching in particular. The standard dynamic programming s...
Danny Hermelin, Gad M. Landau, Shir Landau, Oren W...