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CORR
2007
Springer
112views Education» more  CORR 2007»
13 years 10 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
CORR
2007
Springer
136views Education» more  CORR 2007»
13 years 10 months ago
Sparsity in time-frequency representations
We consider signals and operators in finite dimension which have sparse time-frequency representations. As main result we show that an S-sparse Gabor representation in Cn with re...
Götz E. Pfander, Holger Rauhut
MST
2006
81views more  MST 2006»
13 years 10 months ago
Local Limit Properties for Pattern Statistics and Rational Models
Motivated by problems of pattern statistics, we study the limit distribution of the random variable counting the number of occurrences of the symbol a in a word of length n chosen...
Alberto Bertoni, Christian Choffrut, Massimiliano ...
RSA
2006
68views more  RSA 2006»
13 years 10 months ago
The probabilistic analysis of a greedy satisfiability algorithm
: On input a random 3-CNF formula of clauses-to-variables ratio r3 applies repeatedly the following simple heuristic: Set to True a literal that appears in the maximum number of cl...
Alexis C. Kaporis, Lefteris M. Kirousis, Efthimios...
TIT
2010
121views Education» more  TIT 2010»
13 years 4 months ago
Mismatched estimation and relative entropy
A random variable with distribution P is observed in Gaussian noise and is estimated by a minimum meansquare estimator that assumes that the distribution is Q. This paper shows tha...
Sergio Verdú