148 search results - page 18 / 30 » When Semi-supervised Learning Meets Ensemble Learning |
IJCNN
2007
IEEE
14 years 1 months ago
2007
IEEE
—The 0/1 loss is an important cost function for perceptrons. Nevertheless it cannot be easily minimized by most existing perceptron learning algorithms. In this paper, we propose...
KBSE
2000
IEEE
13 years 12 months ago
2000
IEEE
When a lack of data inhibits decision making, large scale what-if queries can be conducted over the uncertain parameter ranges. Such what-if queries can generate an overwhelming a...
EMNLP
2007
13 years 9 months ago
2007
We describe a two-stage optimization of the MaltParser system for the ten languages in the multilingual track of the CoNLL 2007 shared task on dependency parsing. The first stage...
GECCO
2009
Springer
13 years 11 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...
ATAL
2006
Springer
13 years 11 months ago
2006
Springer
Numerous domains ranging from distributed data acquisition to knowledge reuse need to solve the cluster ensemble problem of combining multiple clusterings into a single unified cl...