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ACMDIS
2008
ACM
15 years 8 months ago
Evaluating the effectiveness of term frequency histograms for supporting interactive web search tasks
Throughout many of the different types of Web searches people perform, the primary tasks are to first craft a query that effectively captures their information needs, and then eva...
Orland Hoeber, Xue Dong Yang
ICPR
2004
IEEE
16 years 7 months ago
Selective Sampling Based on the Variation in Label Assignments
In this paper, a new selective sampling method for the active learning framework is presented. Initially, a small training set ? and a large unlabeled set ? are given. The goal is...
Piotr Juszczak, Robert P. W. Duin
ICML
2007
IEEE
16 years 6 months ago
Minimum reference set based feature selection for small sample classifications
We address feature selection problems for classification of small samples and high dimensionality. A practical example is microarray-based cancer classification problems, where sa...
Xue-wen Chen, Jong Cheol Jeong
DAC
2009
ACM
16 years 25 days ago
ARMS - automatic residue-minimization based sampling for multi-point modeling techniques
This paper describes an automatic methodology for optimizing sample point selection for using in the framework of model order reduction (MOR). The procedure, based on the maximiza...
Jorge Fernandez Villena, Luis Miguel Silveira
248
Voted
ECML
2007
Springer
16 years 6 days ago
Avoiding Boosting Overfitting by Removing Confusing Samples
Boosting methods are known to exhibit noticeable overfitting on some datasets, while being immune to overfitting on other ones. In this paper we show that standard boosting algorit...
Alexander Vezhnevets, Olga Barinova