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ICCAD
1997
IEEE
108views Hardware» more  ICCAD 1997»
14 years 20 days ago
Negative thinking by incremental problem solving: application to unate covering
We introduce a new technique to solve exactly a discrete optimization problem, based on the paradigm of “negative” thinking. The motivation is that when searching the space of...
Evguenii I. Goldberg, Luca P. Carloni, Tiziano Vil...
BMCBI
2010
132views more  BMCBI 2010»
13 years 8 months ago
Protein docking by Rotation-Based Uniform Sampling (RotBUS) with fast computing of intermolecular contact distance and residue d
Background: Protein-protein interactions are fundamental for the majority of cellular processes and their study is of enormous biotechnological and therapeutic interest. In recent...
Albert Solernou, Juan Fernández-Recio
AI
2010
Springer
13 years 8 months ago
Soft arc consistency revisited
The Valued Constraint Satisfaction Problem (VCSP) is a generic optimization problem defined by a network of local cost functions defined over discrete variables. It has applicatio...
Martin C. Cooper, Simon de Givry, M. Sanchez, Thom...
GI
2009
Springer
14 years 1 months ago
Challenges of Electronic CAD in the Nano Scale Era
: Future nano scale devices will expose different characteristics than todays silicon devices. While the exponential growth of non recurring expenses (NRE, mostly due to mask sets)...
Christian Hochberger, Andreas Koch
IJON
2007
184views more  IJON 2007»
13 years 8 months ago
Convex incremental extreme learning machine
Unlike the conventional neural network theories and implementations, Huang et al. [Universal approximation using incremental constructive feedforward networks with random hidden n...
Guang-Bin Huang, Lei Chen