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» A stopping criterion for active learning
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TSLP
2010
87views more  TSLP 2010»
13 years 3 months ago
Confidence-based stopping criteria for active learning for data annotation
Jingbo Zhu, Huizhen Wang, Eduard H. Hovy, Matthew ...
NIPS
1996
13 years 6 months ago
Early Stopping-But When?
Abstract. Validation can be used to detect when over tting starts during supervised training of a neural network; training is then stopped before convergence to avoid the over ttin...
Lutz Prechelt
ICML
2008
IEEE
14 years 5 months ago
Stopping conditions for exact computation of leave-one-out error in support vector machines
We propose a new stopping condition for a Support Vector Machine (SVM) solver which precisely reflects the objective of the Leave-OneOut error computation. The stopping condition ...
Klaus-Robert Müller, Pavel Laskov, Vojtech Fr...
COLING
2010
12 years 12 months ago
Semi-supervised Semantic Pattern Discovery with Guidance from Unsupervised Pattern Clusters
We present a simple algorithm for clustering semantic patterns based on distributional similarity and use cluster memberships to guide semi-supervised pattern discovery. We apply ...
Ang Sun, Ralph Grishman