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» On an Optimization Problem in Sensor Selection*
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QRE
2008
140views more  QRE 2008»
15 years 3 months ago
Discrete mixtures of kernels for Kriging-based optimization
: Kriging-based exploration strategies often rely on a single Ordinary Kriging model which parametric covariance kernel is selected a priori or on the basis of an initial data set....
David Ginsbourger, Céline Helbert, Laurent ...
MOBIHOC
2007
ACM
16 years 4 months ago
Distributed opportunistic scheduling for ad-hoc communications: an optimal stopping approach
We consider distributed opportunistic scheduling (DOS) in wireless ad-hoc networks, where many links contend for the same channel using random access. In such networks, distribute...
Dong Zheng, Weiyan Ge, Junshan Zhang
ICASSP
2009
IEEE
15 years 8 months ago
Optimized opportunistic multicast scheduling (OMS) over heterogeneous cellular networks
Optimized opportunistic multicast scheduling (OMS) has been studied previously by the authors for homogeneous cellular networks, where the problem of efficiently transmitting a co...
Tze-Ping Low, Man-On Pun, Yao-Win Peter Hong, C.-C...
ALT
2008
Springer
16 years 1 months ago
Active Learning in Multi-armed Bandits
In this paper we consider the problem of actively learning the mean values of distributions associated with a finite number of options (arms). The algorithms can select which opti...
András Antos, Varun Grover, Csaba Szepesv&a...
ICASSP
2009
IEEE
15 years 11 months ago
Map approach to learning sparse Gaussian Markov networks
Recently proposed l1-regularized maximum-likelihood optimization methods for learning sparse Markov networks result into convex problems that can be solved optimally and efficien...
Narges Bani Asadi, Irina Rish, Katya Scheinberg, D...