1860 search results - page 79 / 372 » Boosting Methods for Regression |
FOCS
2010
IEEE
13 years 8 months ago
2010
IEEE
Boosting is a general method for improving the accuracy of learning algorithms. We use boosting to construct improved privacy-preserving synopses of an input database. These are da...
ICML
2003
IEEE
14 years 10 months ago
2003
IEEE
Relational reinforcement learning (RRL) is a Q-learning technique which uses first order regression techniques to generalize the Qfunction. Both the relational setting and the Q-l...
CSR
2007
Springer
14 years 4 months ago
2007
Springer
Abstract. How could one estimate the total number of clicks a new advertisement could potentially receive in the current market? This question, called the click volume estimation p...
ICAISC
2010
Springer
14 years 2 months ago
2010
Springer
In the paper a new evolutionary algorithm for induction of univariate regression trees is proposed. In contrast to typical top-down approaches it globally searches for the best tre...
ICASSP
2010
IEEE
13 years 10 months ago
2010
IEEE
In this paper, we develop algorithms for robust linear regression by leveraging the connection between the problems of robust regression and sparse signal recovery. We explicitly ...