1211 search results - page 226 / 243 » Predicting building contamination using machine learning |
NECO
2006
14 years 9 months ago
2006
The application of boosting technique to the regression problems has received relatively little attention in contrast to the research aimed at classification problems. This paper ...
IRI
2008
IEEE
15 years 4 months ago
2008
IEEE
There are many applications where multiple data sources, each with its own features, are integrated in order to perform an inference task in an optimal way. Researchers have shown...
COLT
2005
Springer
15 years 3 months ago
2005
Springer
In recent work Long and Servedio [LS05] presented a “martingale boosting” algorithm that works by constructing a branching program over weak classifiers and has a simple anal...
RSFDGRC
2005
Springer
15 years 3 months ago
2005
Springer
Abstract. Feature selection refers to the problem of selecting those input features that are most predictive of a given outcome; a problem encountered in many areas such as machine...
CICLING
2004
Springer
15 years 1 months ago
2004
Springer
Domain shift is a challenging issue in dialogue management. This paper shows how to extract domain knowledge for dialogue model adaptation. The basic semantic concepts are derived ...