53 search results - page 3 / 11 » On the Existence of Linear Weak Learners and Applications to... |
SDM
2007
SIAM
13 years 7 months ago
2007
SIAM
We consider the supervised learning of a binary classifier from noisy observations. We use smooth boosting to linearly combine abstaining hypotheses, each of which maps a subcube...
ICS
2010
Tsinghua U.
14 years 3 months ago
2010
Tsinghua U.
We consider the problem of boosting the accuracy of weak learning algorithms in the agnostic learning framework of Haussler (1992) and Kearns et al. (1992). Known algorithms for t...
CSB
2004
IEEE
13 years 9 months ago
2004
IEEE
Boosted PRIM (Patient Rule Induction Method) is a new algorithm developed for two-class classification problems. PRIM is a variation of those Tree-Based methods ( [4] Ch9.3), seek...
CVPR
2006
IEEE
14 years 7 months ago
2006
IEEE
Motion estimation for applications where appearance undergoes complex changes is challenging due to lack of an appropriate similarity function. In this paper, we propose to learn ...
NIPS
2004
13 years 7 months ago
2004
This paper presents an application of Boosting for classifying labeled graphs, general structures for modeling a number of real-world data, such as chemical compounds, natural lan...