73 search results - page 11 / 15 » A statistical learning theory approach of bloat |
JMLR
2006
13 years 7 months ago
2006
The consistency of classification algorithm plays a central role in statistical learning theory. A consistent algorithm guarantees us that taking more samples essentially suffices...
CORR
2011
Springer
12 years 11 months ago
2011
Springer
Learning theory has largely focused on two main learning scenarios. The first is the classical statistical setting where instances are drawn i.i.d. from a fixed distribution and...
SIBGRAPI
2009
IEEE
14 years 2 months ago
2009
IEEE
—We present the Hermite radial basis function (HRBF) implicits method to compute a global implicit function which interpolates scattered multivariate Hermite data (unstructured p...
AIED
2005
Springer
14 years 1 months ago
2005
Springer
Time on task is an important predictor for how much students learn. However, students must be focused on their learning for the time invested to be productive. Unfortunately, stude...
KAIS
2006
13 years 7 months ago
2006
Abstract. Many supervised machine learning tasks can be cast as multi-class classification problems. Support vector machines (SVMs) excel at binary classification problems, but the...