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» Controlled Physical Random Functions
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EUSFLAT
2003
15 years 4 months ago
Propagation of uncertainty involving imprecision and randomness
This paper presents a non exhaustive list of different methods of uncertainty propagation when the knowledge of some parameters of physical models is represented by probability me...
Cédric Baudrit, Didier Dubois, Hél&e...
130
Voted
GLOBECOM
2009
IEEE
15 years 9 months ago
Superimposed XOR: A New Physical Layer Network Coding Scheme for Two-Way Relay Channels
— We present a new physical layer network coding (PLNC) scheme, called superimposed XOR, for two-way relay channels. The new scheme specifically takes into account the channel a...
Jianquan Liu, Meixia Tao, Youyun Xu, Xiaodong Wang
127
Voted
COLT
2006
Springer
15 years 6 months ago
A Randomized Online Learning Algorithm for Better Variance Control
We propose a sequential randomized algorithm, which at each step concentrates on functions having both low risk and low variance with respect to the previous step prediction functi...
Jean-Yves Audibert
132
Voted
IVC
2007
121views more  IVC 2007»
15 years 2 months ago
Automatic selection of MRF control parameters by reactive tabu search
This paper presents an optimisation technique to automatically select a set of control parameters for a Markov Random Field. The method is based on the Reactive Tabu Search strate...
Umberto Castellani, Andrea Fusiello, Riccardo Gher...
131
Voted
RECOMB
2003
Springer
16 years 2 months ago
Physical network models and multi-source data integration
We develop a new framework for inferring models of transcriptional regulation. The models in this approach, which we call physical models, are constructed on the basis of verifiab...
Chen-Hsiang Yeang, Tommi Jaakkola