1707 search results - page 52 / 342 » A Boosting Algorithm for Regression |
KDD
2009
ACM
15 years 12 months ago
2009
ACM
We present novel semi-supervised boosting algorithms that incrementally build linear combinations of weak classifiers through generic functional gradient descent using both labele...
HIS
2004
15 years 22 days ago
2004
Boosting is a general method for improving the accuracy of a learning algorithm. AdaBoost, short form for Adaptive Boosting method, consists of repeated use of a weak or a base le...
AAAI
2006
15 years 22 days ago
2006
L1 regularized logistic regression is now a workhorse of machine learning: it is widely used for many classification problems, particularly ones with many features. L1 regularized...
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COMPSAC
2001
IEEE
15 years 3 months ago
2001
IEEE
Regression testing has been a popular quality assurance technique. Most regression testing techniques are based on code or software design. This paper proposes a scenario-based fu...