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JMLR
2010
108views more  JMLR 2010»
15 years 1 months ago
Feature Selection using Multiple Streams
Feature selection for supervised learning can be greatly improved by making use of the fact that features often come in classes. For example, in gene expression data, the genes wh...
Paramveer S. Dhillon, Dean P. Foster, Lyle H. Unga...
CEC
2008
IEEE
16 years 1 months ago
A multi-agent based evolutionary algorithm in non-stationary environments
— In this paper, a multi-agent based evolutionary algorithm (MAEA) is introduced to solve dynamic optimization problems. The agents simulate living organism features and co-evolv...
Yang Yan, Hongfeng Wang, Dingwei Wang, Shengxiang ...
PAMI
2002
175views more  PAMI 2002»
15 years 6 months ago
A Multiscale Method for the Reassembly of Two-Dimensional Fragmented Objects
Helena Cristina da Gama Leitão, Jorge Stolf...
IROS
2006
IEEE
88views Robotics» more  IROS 2006»
16 years 21 days ago
Reliability-Based Design Optimization of Robotic System Dynamic Performance
In this investigation a robotic system’s dynamic performance is optimized for high reliability under uncertainty. The dynamic capability equations allow designers to predict the...
Alan P. Bowling, John E. Renaud, Jeremy T. Newkirk...
JDA
2006
184views more  JDA 2006»
15 years 6 months ago
Dynamic shortest paths and transitive closure: Algorithmic techniques and data structures
In this paper, we survey fully dynamic algorithms for path problems on general directed graphs. In particular, we consider two fundamental problems: dynamic transitive closure and...
Camil Demetrescu, Giuseppe F. Italiano