206 search results - page 7 / 42 » Boosting Kernel Models for Regression |
PAKDD
2004
ACM
15 years 3 months ago
2004
ACM
Abstract. In this paper we upgrade linear logistic regression and boosting to multi-instance data, where each example consists of a labeled bag of instances. This is done by connec...
ISBI
2011
IEEE
14 years 1 months ago
2011
IEEE
Most algorithms used for imaging genetics examine statistical effects of each individual genetic variant, one at a time. We developed a new approach, based on ridge regression, to...
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CVPR
2007
IEEE
15 years 12 months ago
2007
IEEE
We address the problem of estimating human pose in video sequences, where rough location has been determined. We exploit both appearance and motion information by defining suitabl...
JCP
2006
14 years 9 months ago
2006
Numerous data mining problems involve an investigation of associations between features in heterogeneous datasets, where different prediction models can be more suitable for differ...
ECML
2007
Springer
15 years 4 months ago
2007
Springer
Boosting is a simple yet powerful modeling technique that is used in many machine learning and data mining related applications. In this paper, we propose a novel scale-space based...