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» Approximability of Robust Network Design
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BMCBI
2006
179views more  BMCBI 2006»
13 years 10 months ago
Multiscale Hy3S: Hybrid stochastic simulation for supercomputers
Background: Stochastic simulation has become a useful tool to both study natural biological systems and design new synthetic ones. By capturing the intrinsic molecular fluctuation...
Howard Salis, Vassilios Sotiropoulos, Yiannis N. K...
KDD
2004
ACM
166views Data Mining» more  KDD 2004»
14 years 10 months ago
Predicting prostate cancer recurrence via maximizing the concordance index
In order to effectively use machine learning algorithms, e.g., neural networks, for the analysis of survival data, the correct treatment of censored data is crucial. The concordan...
Lian Yan, David Verbel, Olivier Saidi
MM
2009
ACM
160views Multimedia» more  MM 2009»
14 years 4 months ago
On statistical multiplexing of variable-bit-rate video streams in mobile systems
We consider the problem of broadcasting multiple variable-bit-rate (VBR) video streams from a base station to many mobile devices over a wireless network, so that: (i) perceived q...
Cheng-Hsin Hsu, Mohamed Hefeeda
MOBICOM
2010
ACM
13 years 10 months ago
CSMA/CN: carrier sense multiple access with collision notification
A wireless transmitter learns of a packet loss, infers collision, only after completing the entire transmission. If the transmitter could detect the collision early (such as with ...
Souvik Sen, Romit Roy Choudhury, Srihari Nelakudit...
MOBIHOC
2012
ACM
12 years 10 days ago
Spatial spectrum access game: nash equilibria and distributed learning
A key feature of wireless communications is the spatial reuse. However, the spatial aspect is not yet well understood for the purpose of designing efficient spectrum sharing mecha...
Xu Chen, Jianwei Huang