24 search results - page 1 / 5 » Learning Accurate Cutset Networks by Exploiting Decomposabil... |
KDD
2010
ACM
13 years 8 months ago
2010
ACM
In multi-label learning, each training example is associated with a set of labels and the task is to predict the proper label set for the unseen example. Due to the tremendous (ex...
GECCO
2009
Springer
13 years 8 months ago
2009
Springer
Many approaches to active learning involve training one classifier by periodically choosing new data points about which the classifier has the least confidence, but designing a co...
KDD
2010
ACM
13 years 8 months ago
2010
ACM
The security demands on modern system administration are enormous and getting worse. Chief among these demands, administrators must monitor the continual ongoing disclosure of sof...
GECCO
2004
Springer
13 years 10 months ago
2004
Springer
This paper describes a continuous estimation of distribution algorithm (EDA) to solve decomposable, real-valued optimization problems quickly, accurately, and reliably. This is the...
ICML
2010
IEEE
13 years 6 months ago
2010
IEEE
We introduce a novel active learning algorithm for classification of network data. In this setting, training instances are connected by a set of links to form a network, the label...