Sciweavers

168 search results - page 15 / 34
» Boosting ridge regression
Sort
View
CVPR
2009
IEEE
1528views Computer Vision» more  CVPR 2009»
14 years 12 months ago
Structured Output-Associative Regression
Structured outputs such as multidimensional vectors or graphs are frequently encountered in real world pattern recognition applications such as computer vision, natural language pr...
Liefeng Bo and Cristian Sminchisescu
NN
2002
Springer
224views Neural Networks» more  NN 2002»
13 years 7 months ago
Optimal design of regularization term and regularization parameter by subspace information criterion
The problem of designing the regularization term and regularization parameter for linear regression models is discussed. Previously, we derived an approximation to the generalizat...
Masashi Sugiyama, Hidemitsu Ogawa
NIPS
2001
13 years 9 months ago
On the Convergence of Leveraging
We give an unified convergence analysis of ensemble learning methods including e.g. AdaBoost, Logistic Regression and the Least-SquareBoost algorithm for regression. These methods...
Gunnar Rätsch, Sebastian Mika, Manfred K. War...
ALT
2006
Springer
14 years 4 months ago
Large-Margin Thresholded Ensembles for Ordinal Regression: Theory and Practice
Abstract. We propose a thresholded ensemble model for ordinal regression problems. The model consists of a weighted ensemble of confidence functions and an ordered vector of thres...
Hsuan-Tien Lin, Ling Li
ESEM
2008
ACM
13 years 9 months ago
A constrained regression technique for cocomo calibration
Building cost estimation models is often considered a search problem in which the solver should return an optimal solution satisfying an objective function. This solution also nee...
Vu Nguyen, Bert Steece, Barry W. Boehm