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GECCO
2010
Springer
168views Optimization» more  GECCO 2010»
14 years 2 months ago
Investigating whether hyperNEAT produces modular neural networks
HyperNEAT represents a class of neuroevolutionary algorithms that captures some of the power of natural development with a ionally efficient high-level abstraction of development....
Jeff Clune, Benjamin E. Beckmann, Philip K. McKinl...
ICSE
2010
IEEE-ACM
14 years 2 months ago
Adaptive bug isolation
Statistical debugging uses lightweight instrumentation and statistical models to identify program behaviors that are strongly predictive of failure. However, most software is most...
Piramanayagam Arumuga Nainar, Ben Liblit
ITS
2010
Springer
157views Multimedia» more  ITS 2010»
14 years 2 months ago
A Computational Model of Accelerated Future Learning through Feature Recognition
Accelerated future learning, in which learning proceeds more effectively and more rapidly because of prior learning, is considered to be one of the most interesting measures of ro...
Nan Li, William W. Cohen, Kenneth R. Koedinger
CDC
2009
IEEE
168views Control Systems» more  CDC 2009»
14 years 1 months ago
Content distribution by multiple multicast trees and intersession cooperation: Optimal algorithms and approximations
—The paper addresses the problem of massive content distribution in the network where multiple sessions coexist. In the traditional approaches, the sessions form separate overlay...
Xiaoying Zheng, Chunglae Cho, Ye Xia
IWCMC
2009
ACM
14 years 1 months ago
Graph coloring based physical-cell-ID assignment for LTE networks
Autoconfiguration of the radio parameters is a key feature for next generation mobile networks. Especially for LTE the NGMN Forum has brought it up as a major requirement. It is ...
Tobias Bandh, Georg Carle, Henning Sanneck
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