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GECCO
2007
Springer
212views Optimization» more  GECCO 2007»
15 years 10 months ago
A developmental model of neural computation using cartesian genetic programming
The brain has long been seen as a powerful analogy from which novel computational techniques could be devised. However, most artificial neural network approaches have ignored the...
Gul Muhammad Khan, Julian F. Miller, David M. Hall...
BMCBI
2008
152views more  BMCBI 2008»
15 years 4 months ago
Predicting biological system objectives de novo from internal state measurements
Background: Optimization theory has been applied to complex biological systems to interrogate network properties and develop and refine metabolic engineering strategies. For examp...
Erwin P. Gianchandani, Matthew A. Oberhardt, Antho...
160
Voted
JSAC
2011
185views more  JSAC 2011»
14 years 11 months ago
Joint Dynamic Resource Allocation and Waveform Adaptation for Cognitive Networks
This paper investigates the issue of dynamic resource allocation (DRA) in the context of multiuser cognitive radio networks. We present a general framework adopting generalized si...
Zhi Tian, Geert Leus, Vincenzo Lottici
ICML
2008
IEEE
16 years 5 months ago
Boosting with incomplete information
In real-world machine learning problems, it is very common that part of the input feature vector is incomplete: either not available, missing, or corrupted. In this paper, we pres...
Feng Jiao, Gholamreza Haffari, Greg Mori, Shaojun ...
IROS
2009
IEEE
155views Robotics» more  IROS 2009»
15 years 11 months ago
Active learning using mean shift optimization for robot grasping
— When children learn to grasp a new object, they often know several possible grasping points from observing a parent’s demonstration and subsequently learn better grasps by tr...
Oliver Kroemer, Renaud Detry, Justus H. Piater, Ja...