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ICCAD
1997
IEEE
108views Hardware» more  ICCAD 1997»
15 years 1 months 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...
CVPR
2004
IEEE
15 years 11 months ago
Learning Classifiers from Imbalanced Data Based on Biased Minimax Probability Machine
We consider the problem of the binary classification on imbalanced data, in which nearly all the instances are labelled as one class, while far fewer instances are labelled as the...
Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. ...
JEA
2008
97views more  JEA 2008»
14 years 9 months ago
Approximating the true evolutionary distance between two genomes
As more and more genomes are sequenced, evolutionary biologists are becoming increasingly interested in evolution at the level of whole genomes, in scenarios in which the genome e...
Krister M. Swenson, Mark Marron, Joel V. Earnest-D...
TON
2010
129views more  TON 2010»
14 years 7 months ago
QoS-based manycasting over optical burst-switched (OBS) networks
Abstract—Many distributed applications require a group of destinations to be coordinated with a single source. Multicasting is a communication paradigm to implement these distrib...
Balagangadhar G. Bathula, Vinod Vokkarane
EVOW
2001
Springer
15 years 1 months ago
Evolution of Spiking Neural Controllers for Autonomous Vision-Based Robots
Abstract. We describe a set of preliminary experiments to evolve spiking neural controllers for a vision-based mobile robot. All the evolutionary experiments are carried out on phy...
Dario Floreano, Claudio Mattiussi