37 search results - page 4 / 8 » Steplength selection in interior-point methods for quadratic... |
ICDM
2003
IEEE
13 years 11 months ago
2003
IEEE
In the literature of data mining, many different algorithms for association rule mining have been proposed. However, there is relatively little study on how association rules can ...
JMLR
2006
13 years 6 months ago
2006
Support vector machines are trained by solving constrained quadratic optimization problems. This is usually done with an iterative decomposition algorithm operating on a small wor...
NIPS
2003
13 years 7 months ago
2003
New feature selection algorithms for linear threshold functions are described which combine backward elimination with an adaptive regularization method. This makes them particular...
JMLR
2006
13 years 6 months ago
2006
An ensemble is a group of learning models that jointly solve a problem. However, the ensembles generated by existing techniques are sometimes unnecessarily large, which can lead t...
ICML
2007
IEEE
14 years 7 months ago
2007
IEEE
In many applications it is desirable to learn from several kernels. "Multiple kernel learning" (MKL) allows the practitioner to optimize over linear combinations of kern...