1860 search results - page 111 / 372 » Boosting Methods for Regression |
NCI
2004
13 years 11 months ago
2004
In model selection procedures in supervised learning, a model is usually chosen so that the expected test error over all possible test input points is minimized. On the other hand...
ESANN
2000
13 years 11 months ago
2000
Many large -scale spatial data analysis problems involve an investigation of relationships in heterogeneous databases. In such situations, instead of making predictions uniformly a...
ICML
2010
IEEE
13 years 11 months ago
2010
IEEE
We present a new algorithm for minimizing a convex loss-function subject to regularization. Our framework applies to numerous problems in machine learning and statistics; notably,...
CSL
2010
Springer
13 years 10 months ago
2010
Springer
In the present work we study the appropriateness of a number of linear and non-linear regression methods, employed on the task of speech segmentation, for combining multiple phone...
CSL
2010
Springer
13 years 10 months ago
2010
Springer
Meeting summarization provides a concise and informative summary for the lengthy meetings and is an effective tool for efficient information access. In this paper, we focus on ext...