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AIPS
2010
15 years 7 months ago
Iterative Learning of Weighted Rule Sets for Greedy Search
Greedy search is commonly used in an attempt to generate solutions quickly at the expense of completeness and optimality. In this work, we consider learning sets of weighted actio...
Yuehua Xu, Alan Fern, Sung Wook Yoon
CCR
2010
156views more  CCR 2010»
15 years 7 months ago
Evolvable network architectures: what can we learn from biology?
There is significant research interest recently to understand the evolution of the current Internet, as well as to design clean-slate Future Internet architectures. Clearly, even ...
Constantine Dovrolis, J. Todd Streelman
CORR
2010
Springer
186views Education» more  CORR 2010»
15 years 7 months ago
Channel Estimation for Opportunistic Spectrum Access: Uniform and Random Sensing
The knowledge of channel statistics can be very helpful in making sound opportunistic spectrum access decisions. It is therefore desirable to be able to efficiently and accurately...
Quanquan Liang, Mingyan Liu
JSAC
2006
199views more  JSAC 2006»
15 years 6 months ago
IDES: An Internet Distance Estimation Service for Large Networks
The responsiveness of networked applications is limited by communications delays, making network distance an important parameter in optimizing the choice of communications peers. S...
Yun Mao, Lawrence K. Saul, Jonathan M. Smith
TOG
2008
143views more  TOG 2008»
15 years 6 months ago
Discovering structural regularity in 3D geometry
We introduce a computational framework for discovering regular or repeated geometric structures in 3D shapes. We describe and classify possible regular structures and present an e...
Mark Pauly, Niloy J. Mitra, Johannes Wallner, Helm...