174 search results - page 18 / 35 » Advances in Instance Selection for Instance-Based Learning A... |
CIKM
2010
Springer
14 years 7 months ago
2010
Springer
In this paper, we study a novel problem Collective Active Learning, in which we aim to select a batch set of "informative" instances from a networking data set to query ...
NIPS
2004
14 years 11 months ago
2004
In the context of binary classification, we define disagreement as a measure of how often two independently-trained models differ in their classification of unlabeled data. We exp...
MINENET
2005
ACM
15 years 3 months ago
2005
ACM
Detecting anomalous BGP-route advertisements is crucial for improving the security and robustness of the Internet’s interdomain-routing system. In this paper, we propose an inst...
CBMS
2006
IEEE
15 years 3 months ago
2006
IEEE
Inductive learning systems have been successfully applied in a number of medical domains. It is generally accepted that the highest accuracy results that an inductive learning sys...
ICANNGA
2009
Springer
15 years 4 months ago
2009
Springer
Many complex, real world phenomena are difficult to study directly using controlled experiments. Instead, the use of computer simulations has become commonplace as a feasible alte...