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» Machine-Learning Applications of Algorithmic Randomness
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BMCBI
2007
141views more  BMCBI 2007»
13 years 8 months ago
Artificial neural network models for prediction of intestinal permeability of oligopeptides
Background: Oral delivery is a highly desirable property for candidate drugs under development. Computational modeling could provide a quick and inexpensive way to assess the inte...
Eunkyoung Jung, Junhyoung Kim, Minkyoung Kim, Dong...
EOR
2007
101views more  EOR 2007»
13 years 8 months ago
Optimizing an objective function under a bivariate probability model
The motivation of this paper is to obtain an analytical closed form of a quadratic objective function arising from a stochastic decision process with bivariate exponential probabi...
Xavier Brusset, Nico M. Temme
SIGECOM
2008
ACM
138views ECommerce» more  SIGECOM 2008»
13 years 7 months ago
Generalized scoring rules and the frequency of coalitional manipulability
We introduce a class of voting rules called generalized scoring rules. Under such a rule, each vote generates a vector of k scores, and the outcome of the voting rule is based onl...
Lirong Xia, Vincent Conitzer
WISEC
2010
ACM
14 years 24 days ago
Secret keys from entangled sensor motes: implementation and analysis
Key management in wireless sensor networks does not only face typical, but also several new challenges. The scale, resource limitations, and new threats such as node capture and c...
Matthias Wilhelm, Ivan Martinovic, Jens B. Schmitt
CORR
2011
Springer
155views Education» more  CORR 2011»
13 years 2 months ago
Reconciling Compressive Sampling Systems for Spectrally-sparse Continuous-time Signals
The Random Demodulator (RD) and the Modulated Wideband Converter (MWC) are two recently proposed compressed sensing (CS) techniques for the acquisition of continuous-time spectral...
Michael A. Lexa, Mike E. Davies, John S. Thompson