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NECO
2002
100views more  NECO 2002»
13 years 4 months ago
Robust Regression with Asymmetric Heavy-Tail Noise Distributions
In the presence of a heavy-tail noise distribution, regression becomes much more di cult. Traditional robust regression methods assume that the noise distribution is symmetric and...
Ichiro Takeuchi, Yoshua Bengio, Takafumi Kanamori
TIT
2011
134views more  TIT 2011»
12 years 11 months ago
Estimating Heavy-Tail Exponents Through Max Self-Similarity
: In this paper, a novel approach to the problem of estimating the heavy–tail exponent α > 0 of a distribution is proposed. It is based on the fact that block–maxima of siz...
Stilian Stoev, George Michailidis, Murad S. Taqqu
CSDA
2006
92views more  CSDA 2006»
13 years 4 months ago
Robust measures of tail weight
The kurtosis coefficient is often regarded as a measure of the tail heaviness of a distribution relative to that of the normal distribution. However, it also measures the peakedne...
Guy Brys, Mia Hubert, Anja Struyf
ALT
2000
Springer
14 years 1 months ago
On the Noise Model of Support Vector Machines Regression
Abstract. Support Vector Machines Regression (SVMR) is a learning technique where the goodness of fit is measured not by the usual quadratic loss function (the mean square error),...
Massimiliano Pontil, Sayan Mukherjee, Federico Gir...
IEICET
2010
133views more  IEICET 2010»
13 years 3 months ago
Least-Squares Conditional Density Estimation
Estimating the conditional mean of an input-output relation is the goal of regression. However, regression analysis is not sufficiently informative if the conditional distribution...
Masashi Sugiyama, Ichiro Takeuchi, Taiji Suzuki, T...