1989 search results - page 61 / 398 » Learning to Select Useful Landmarks |
IJCNN
2007
IEEE
14 years 4 months ago
2007
IEEE
Abstract - We discuss an ensemble-of-classifiers based algorithm for the missing feature problem. The proposed approach is inspired in part by the random subspace method, and in pa...
ICML
2001
IEEE
14 years 10 months ago
2001
IEEE
We report on the successful application of feature selection methods to a classification problem in molecular biology involving only 72 data points in a 7130 dimensional space. Ou...
CGO
2010
IEEE
14 years 4 months ago
2010
IEEE
Tiling is a widely used loop transformation for exposing/exploiting parallelism and data locality. Effective use of tiling requires selection and tuning of the tile sizes. This is...
ICML
2004
IEEE
14 years 3 months ago
2004
IEEE
LASSO (Least Absolute Shrinkage and Selection Operator) is a useful tool to achieve the shrinkage and variable selection simultaneously. Since LASSO uses the L1 penalty, the optim...
ACL
2008
13 years 11 months ago
2008
Statistical machine learning methods are employed to train a Named Entity Recognizer from annotated data. Methods like Maximum Entropy and Conditional Random Fields make use of fe...