2712 search results - page 316 / 543 » On learning algorithm selection for classification |
190
click to vote
GECCO
2008
Springer
15 years 7 months ago
2008
Springer
Selective sampling is a form of active learning which can reduce the cost of training by only drawing informative data points into the training set. This selected training set is ...
172
click to vote
ICDM
2003
IEEE
15 years 12 months ago
2003
IEEE
A major obstacle to fully integrated deployment of many data mining algorithms is the assumption that data sits in a single table, even though most real-world databases have compl...
157
click to vote
ICML
2006
IEEE
16 years 7 months ago
2006
IEEE
A multiclass classification problem can be reduced to a collection of binary problems with the aid of a coding matrix. The quality of the final solution, which is an ensemble of b...
188
click to vote
IFIP12
2004
15 years 8 months ago
2004
: Recently, multi-instance classification algorithm BP-MIP and multi-instance regression algorithm BP-MIR both based on neural networks have been proposed. In this paper, neural ne...
189
click to vote
ICML
2009
IEEE
16 years 7 months ago
2009
IEEE
We show how variational Bayesian inference can be implemented for very large generalized linear models. Our relaxation is proven to be a convex problem for any log-concave model. ...