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ICCBR
2003
Springer
14 years 20 days ago
Using Evolution Programs to Learn Local Similarity Measures
Abstract. The definition of similarity measures is one of the most crucial aspects when developing case-based applications. In particular, when employing similarity measures that ...
Armin Stahl, Thomas Gabel
ICMLA
2007
13 years 9 months ago
Maximum Likelihood Quantization of Genomic Features Using Dynamic Programming
Dynamic programming is introduced to quantize a continuous random variable into a discrete random variable. Quantization is often useful before statistical analysis or reconstruct...
Mingzhou (Joe) Song, Robert M. Haralick, Sté...
ASAP
2004
IEEE
102views Hardware» more  ASAP 2004»
13 years 11 months ago
A Hierarchical Classification Scheme to Derive Interprocess Communication in Process Networks
The Compaan compiler automatically derives a Process Network (PN) description from an application written in Matlab. The basic element of a PN is a Producer/Consumer (P/C) pair. F...
Alexandru Turjan, Bart Kienhuis, Ed F. Deprettere
BMCBI
2010
163views more  BMCBI 2010»
13 years 7 months ago
Reduced representation of protein structure: implications on efficiency and scope of detection of structural similarity
Background: Computational comparison of two protein structures is the starting point of many methods that build on existing knowledge, such as structure modeling (including modeli...
Zong Hong Zhang, Hwee Kuan Lee, Ivana Mihalek
ISSTA
2009
ACM
14 years 2 months ago
Identifying semantic differences in AspectJ programs
Program differencing is a common means of software debugging. Although many differencing algorithms have been proposed for procedural and object-oriented languages like C and Ja...
Martin Th Görg, Jianjun Zhao