2208 search results - page 3 / 442 » On Issues of Instance Selection |
WISTP
2009
Springer
14 years 1 months ago
2009
Springer
Abstract. In this paper we report on the performance of the RSA variants of Brands protocols for zero-knowledge proof and restrictive blinded issuing [1]. The performance is relati...
ICPR
2006
IEEE
14 years 7 months ago
2006
IEEE
Finding a small set of representative instances for large datasets can bring various benefits to data mining practitioners so they can (1) build a learner superior to the one cons...
KDD
2002
ACM
14 years 6 months ago
2002
ACM
Instance selection and feature selection are two orthogonal methods for reducing the amount and complexity of data. Feature selection aims at the reduction of redundant features i...
ISDA
2010
IEEE
13 years 4 months ago
2010
IEEE
Dimensionality reduction and feature selection in particular are known to be of a great help for making supervised learning more effective and efficient. Many different feature sel...
JMLR
2008
13 years 6 months ago
2008
In supervised learning, a training set consisting of labeled instances is used by a learning algorithm for generating a model (classifier) that is subsequently employed for decidi...