92 search results - page 9 / 19 » Feature significance for multivariate kernel density estimat... |
VLDB
2005
ACM
14 years 10 months ago
2005
ACM
Estimating the selectivity of multidimensional range queries over real valued attributes has significant applications in data exploration and database query optimization. In this p...
NIPS
2000
13 years 11 months ago
2000
Modern classification applications necessitate supplementing the few available labeled examples with unlabeled examples to improve classification performance. We present a new tra...
ML
2012
ACM
12 years 5 months ago
2012
ACM
The ratio of two probability densities can be used for solving various machine learning tasks such as covariate shift adaptation (importance sampling), outlier detection (likeliho...
PR
2006
13 years 9 months ago
2006
The selection of valuable features is crucial in pattern recognition. In this paper we deal with the issue that part of features originate from directional instead of common linea...
ESANN
2006
13 years 11 months ago
2006
Random Forests were introduced by Breiman for feature (variable) selection and improved predictions for decision tree models. The resulting model is often superior to AdaBoost and ...