1707 search results - page 10 / 342 » A Boosting Algorithm for Regression |
ICONIP
2004
13 years 9 months ago
2004
Boosting algorithm is understood as the gradient descent algorithm of a loss function. It is often pointed out that the typical boosting algorithm, Adaboost, is seriously affected ...
CSDA
2007
13 years 8 months ago
2007
Ridge regression is a well established method to shrink regression parameters towards zero, thereby securing existence of estimates. The present paper investigates several approac...
KDD
2009
ACM
14 years 1 months ago
2009
ACM
We develop and evaluate an approach to causal modeling based on time series data, collectively referred to as“grouped graphical Granger modeling methods.” Graphical Granger mo...
IDEAL
2004
Springer
14 years 1 months ago
2004
Springer
A novel technique is presented to construct sparse regression models based on the orthogonal least square method with boosting. This technique tunes the mean vector and diagonal c...
ETVC
2008
13 years 10 months ago
2008
In a seminal paper, Amari (1998) proved that learning can be made more efficient when one uses the intrinsic Riemannian structure of the algorithms' spaces of parameters to po...