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138
Voted
GECCO
2010
Springer
173views Optimization» more  GECCO 2010»
15 years 7 months ago
The baldwin effect in developing neural networks
The Baldwin Effect is a very plausible, but unproven, biological theory concerning the power of learning to accelerate evolution. Simple computational models in the 1980’s gave...
Keith L. Downing
MOBIHOC
2007
ACM
16 years 3 months ago
Approximation algorithms for longest-lived directional multicast communications in WANETs
Several centralized and distributed algorithms have been recently proposed to maximize the multicast lifetime for directional communications in wireless ad-hoc networks. Their per...
Song Guo, Oliver W. W. Yang, Victor C. M. Leung
136
Voted
ICC
2007
IEEE
15 years 9 months ago
Optical WDM Network Planning Using Heterogeneous Multi-granularity OXCs
Multigranular optical WDM network aims to reduce network cost by grouping multiple wavelengths and then switching those wavelengths together at waveband or fiber levels. To configu...
Hong-Hsu Yen, Frank Yeong-Sung Lin, Steven S. W. L...
128
Voted
GECCO
2009
Springer
188views Optimization» more  GECCO 2009»
15 years 7 months ago
Exploiting multiple classifier types with active learning
Many approaches to active learning involve training one classifier by periodically choosing new data points about which the classifier has the least confidence, but designing a co...
Zhenyu Lu, Josh Bongard
DCOSS
2006
Springer
15 years 7 months ago
Approximation Algorithms for Power-Aware Scheduling of Wireless Sensor Networks with Rate and Duty-Cycle Constraints
We develop algorithms for finding the minimum energy transmission schedule for duty-cycle and rate constrained wireless sensor nodes transmitting over an interference channel. Sinc...
Rajgopal Kannan, Shuangqing Wei