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ISAAC
2004
Springer
115views Algorithms» more  ISAAC 2004»
15 years 4 months ago
Randomized Algorithms for Motif Detection
Motivation: Motif detection for DNA sequences has many important applications in biological studies, e.g., locating binding sites and regulatory signals, and designing genetic prob...
Lusheng Wang, Liang Dong, Hui Fan
GECCO
2009
Springer
15 years 3 months ago
The sensitivity of HyperNEAT to different geometric representations of a problem
HyperNEAT, a generative encoding for evolving artificial neural networks (ANNs), has the unique and powerful ability to exploit the geometry of a problem (e.g., symmetries) by enc...
Jeff Clune, Charles Ofria, Robert T. Pennock
GPEM
2007
119views more  GPEM 2007»
14 years 11 months ago
Genomic mining for complex disease traits with "random chemistry"
Our rapidly growing knowledge regarding genetic variation in the human genome offers great potential for understanding the genetic etiology of disease. This, in turn, could revolut...
Margaret J. Eppstein, Joshua L. Payne, Bill C. Whi...
ICPR
2006
IEEE
16 years 12 days ago
A New Data Selection Principle for Semi-Supervised Incremental Learning
Current semi-supervised incremental learning approaches select unlabeled examples with predicted high confidence for model re-training. We show that for many applications this dat...
Alexander I. Rudnicky, Rong Zhang
IJSNET
2006
110views more  IJSNET 2006»
14 years 11 months ago
Improving network lifetime using sensors with adjustable sensing ranges
Abstract: This paper addresses the target coverage problem in wireless sensor networks with adjustable sensing range. Communication and sensing consume energy, therefore efficient ...
Mihaela Cardei, Jie Wu, Mingming Lu