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ICDM
2009
IEEE
199views Data Mining» more  ICDM 2009»
14 years 4 months ago
Active Learning with Adaptive Heterogeneous Ensembles
—One common approach to active learning is to iteratively train a single classifier by choosing data points based on its uncertainty, but it is nontrivial to design uncertainty ...
Zhenyu Lu, Xindong Wu, Josh Bongard
GECCO
2009
Springer
188views Optimization» more  GECCO 2009»
14 years 1 months ago
Exploiting multiple classifier types with active learning
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...
Zhenyu Lu, Josh Bongard
SDM
2010
SIAM
195views Data Mining» more  SDM 2010»
13 years 11 months ago
Adaptive Informative Sampling for Active Learning
Many approaches to active learning involve periodically training one classifier and choosing data points with the lowest confidence. An alternative approach is to periodically cho...
Zhenyu Lu, Xindong Wu, Josh Bongard
CSL
2010
Springer
13 years 10 months ago
Improving supervised learning for meeting summarization using sampling and regression
Meeting summarization provides a concise and informative summary for the lengthy meetings and is an effective tool for efficient information access. In this paper, we focus on ext...
Shasha Xie, Yang Liu
ILP
1999
Springer
14 years 2 months ago
Morphosyntactic Tagging of Slovene Using Progol
Abstract. We consider the task of tagging Slovene words with morphosyntactic descriptions (MSDs). MSDs contain not only part-of-speech information but also attributes such as gende...
James Cussens, Saso Dzeroski, Tomaz Erjavec