1860 search results - page 48 / 372 » Boosting Methods for Regression |
107
Voted
ICPR
2008
IEEE
16 years 2 months ago
2008
IEEE
In this paper we propose a new distributed learning method called distributed network boosting (DNB) algorithm for distributed applications. The learned hypotheses are exchanged b...
148
Voted
ECCV
2010
Springer
15 years 6 months ago
2010
Springer
Many learning tasks for computer vision problems can be described by multiple views or multiple features. These views can be exploited in order to learn from unlabeled data, a.k.a....
97
Voted
CSDA
2006
15 years 25 days ago
2006
Flexible discriminant analysis (FDA) is a general methodology which aims at providing tools for multigroup non linear classification. It consists in a nonparametric version of dis...
79
Voted
KDD
2010
ACM
15 years 4 months ago
2010
ACM
Many real-world data mining tasks require the achievement of two distinct goals when applied to unseen data: first, to induce an accurate preference ranking, and second to give g...
84
Voted
TSMC
2008
15 years 20 days ago
2008
Robust regression techniques are critical to fitting data with noise in real-world applications. Most previous work of robust kernel regression is usually formulated into a dual fo...