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CORR
2007
Springer
112views Education» more  CORR 2007»
14 years 12 months ago
Learning from compressed observations
— The problem of statistical learning is to construct a predictor of a random variable Y as a function of a related random variable X on the basis of an i.i.d. training sample fr...
Maxim Raginsky
GLOBECOM
2009
IEEE
15 years 6 months ago
Multi-Functional Compression with Side Information
Abstract—In this paper, we consider the problem of multifunctional compression with side information. The problem is how we can compress a source X so that the receiver is able t...
Soheil Feizi-Khankandi, Muriel Médard
DC
2010
14 years 12 months ago
A knowledge-based analysis of global function computation
Consider a distributed system N in which each agent has an input value and each communication link has a weight. Given a global function, that is, a function f whose value depends...
Joseph Y. Halpern, Sabina Petride
EOR
2007
101views more  EOR 2007»
14 years 12 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
TIT
1998
96views more  TIT 1998»
14 years 11 months ago
Sequential Prediction of Individual Sequences Under General Loss Functions
Abstract— We consider adaptive sequential prediction of arbitrary binary sequences when the performance is evaluated using a general loss function. The goal is to predict on each...
David Haussler, Jyrki Kivinen, Manfred K. Warmuth