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CORR
2006
Springer
130views Education» more  CORR 2006»
13 years 8 months ago
Genetic Programming for Kernel-based Learning with Co-evolving Subsets Selection
Abstract. Support Vector Machines (SVMs) are well-established Machine Learning (ML) algorithms. They rely on the fact that i) linear learning can be formalized as a well-posed opti...
Christian Gagné, Marc Schoenauer, Mich&egra...
TCBB
2008
122views more  TCBB 2008»
13 years 8 months ago
Mixed Integer Linear Programming for Maximum-Parsimony Phylogeny Inference
Reconstruction of phylogenetic trees is a fundamental problem in computational biology. While excellent heuristic methods are available for many variants of this problem, new adva...
Srinath Sridhar, Fumei Lam, Guy E. Blelloch, R. Ra...
DCOSS
2010
Springer
14 years 1 months ago
Programming Sensor Networks Using Remora Component Model
Abstract. The success of high-level programming models in Wireless Sensor Networks (WSNs) is heavily dependent on factors such as ease of programming, code well-structuring, degree...
Amirhosein Taherkordi, Frédéric Loir...
STOC
2001
ACM
115views Algorithms» more  STOC 2001»
14 years 9 months ago
Running time and program size for self-assembled squares
Recently Rothemund and Winfree 6] have considered the program size complexity of constructing squares by selfassembly. Here, we consider the time complexity of such constructions ...
Leonard M. Adleman, Qi Cheng, Ashish Goel, Ming-De...
EUROPAR
2009
Springer
14 years 3 months ago
XJava: Exploiting Parallelism with Object-Oriented Stream Programming
Abstract. This paper presents the XJava compiler for parallel programs. It exploits parallelism based on an object-oriented stream programming paradigm. XJava extends Java with new...
Frank Otto, Victor Pankratius, Walter F. Tichy