176 search results - page 24 / 36 » Statistical Learning Theory: A Primer |
AMC
2006
13 years 7 months ago
2006
The problem of distinguishing density-independent (DI) from density-dependent (DD) demographic time series is important for understanding the mechanisms that regulate populations ...
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...
SIGKDD
2000
13 years 7 months ago
2000
Support Vector Machines (SVMs) and related kernel methods have become increasingly popular tools for data mining tasks such as classification, regression, and novelty detection. T...
ECML
2006
Springer
13 years 11 months ago
2006
Springer
Minimum volume covering ellipsoid estimation is important in areas such as systems identification, control, video tracking, sensor management, and novelty detection. It is well kno...
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...