130
Voted
TCOM
2010
14 years 7 months ago
2010
Consider independent and identically distributed exponential random variables (r.vs) 1, 2, . . . , and positive scalars 1, 2, . . . , . In this letter, we present the probability...
107
Voted
TCOM
2010
14 years 10 months ago
2010
—A unified analytical framework for evaluating the performance of maximal ratio combining (MRC) and orthogonal space-time block coding (OSTBC) over generalized fading channels i...
109
Voted
COMPUTING
2002
15 years 1 days ago
2002
It has been observed by E. Eberlein and U. Keller that the hyperbolic distribution fits logarithmic rates of returns of a stock much better than the normal distribution. We give a...
83
Voted
TIT
2008
15 years 4 days ago
2008
A novel, non-trivial, probabilistic upper bound on the entropy of an unknown one-dimensional distribution, given the support of the distribution and a sample from that distribution...
90
Voted
TCOM
2008
15 years 4 days ago
2008
The cumulative distribution function (cdf) of a sum of correlated or even independent lognormal random variables (RVs), which is of wide interest in wireless communications, remain...
104
Voted
CADE
2007
Springer
16 years 16 days ago
2007
Springer
Continuous probability distributions are widely used to mathematically describe random phenomena in engineering and physical sciences. In this paper, we present a methodology that ...
119
Voted
KDD
2005
ACM
16 years 19 days ago
2005
ACM
This paper presents a generalization of Regression Error Characteristic (REC) curves. REC curves describe the cumulative distribution function of the prediction error of models an...
138
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MICCAI
2006
Springer
16 years 1 months ago
2006
Springer
Abstract. This paper introduces a new similarity measure for multimodal image registration task. The measure is based on the generalized survival exponential entropy (GSEE) and mut...
118
Voted
DAC
2004
ACM
16 years 1 months ago
2004
ACM
CT An efficient statistical timing analysis algorithm that can handle arbitrary (spatial and structural) causes of delay correlation is described. The algorithm derives the entire ...