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CORR
2007
Springer
112views Education» more  CORR 2007»
13 years 7 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
14 years 2 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
13 years 7 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»
13 years 7 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»
13 years 7 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