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CCE
2006
15 years 6 months ago
An efficient algorithm for large scale stochastic nonlinear programming problems
The class of stochastic nonlinear programming (SNLP) problems is important in optimization due to the presence of nonlinearity and uncertainty in many applications, including thos...
Y. Shastri, Urmila M. Diwekar
CORR
2006
Springer
130views Education» more  CORR 2006»
15 years 6 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...
INTEGRATION
2007
90views more  INTEGRATION 2007»
15 years 6 months ago
Partitioning-based decoupling capacitor budgeting via sequence of linear programming
In this paper, we propose an efficient algorithm to reduce the voltage noises for on-chip power/ground (P/G) networks of VLSI. The new method is based on the sequence of linear p...
Jeffrey Fan, Sheldon X.-D. Tan, Yici Cai, Xianlong...
JCB
2000
137views more  JCB 2000»
15 years 6 months ago
NOTUNG: A Program for Dating Gene Duplications and Optimizing Gene Family Trees
Large scale gene duplication is a major force driving the evolution of genetic functional innovation. Whole genome duplications are widely believed to have played an important rol...
Kevin Chen, Dannie Durand, Martin Farach-Colton
AMAI
1999
Springer
15 years 6 months ago
From Logic Programming Towards Multi-Agent Systems
In this paper we present an extension of logic programming (LP) that is suitable not only for the "rational" component of a single agent but also for the "reactive&...
Robert A. Kowalski, Fariba Sadri