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» A selective sampling approach to active feature selection
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ALT
2008
Springer
14 years 7 months ago
Active Learning in Multi-armed Bandits
In this paper we consider the problem of actively learning the mean values of distributions associated with a finite number of options (arms). The algorithms can select which opti...
András Antos, Varun Grover, Csaba Szepesv&a...
ESANN
2008
13 years 11 months ago
A multiple testing procedure for input variable selection in neural networks
In this paper a novel procedure to select the input nodes in neural network modeling is presented and discussed. The approach is developed in a multiple testing framework and so it...
Michele La Rocca, Cira Perna
ACL
1996
13 years 11 months ago
Minimizing Manual Annotation Cost in Supervised Training from Corpora
Corpus-based methods for natural language processing often use supervised training, requiring expensive manual annotation of training corpora. This paper investigates methods for ...
Sean P. Engelson, Ido Dagan
BMCBI
2010
132views more  BMCBI 2010»
13 years 10 months ago
Error margin analysis for feature gene extraction
Background: Feature gene extraction is a fundamental issue in microarray-based biomarker discovery. It is normally treated as an optimization problem of finding the best predictiv...
Chi Kin Chow, Hai Long Zhu, Jessica Lacy, Winston ...
TROB
2008
186views more  TROB 2008»
13 years 10 months ago
Attentional Landmarks and Active Gaze Control for Visual SLAM
This paper is centered around landmark detection, tracking and matching for visual SLAM (Simultaneous Localization And Mapping) using a monocular vision system with active gaze con...
Simone Frintrop, Patric Jensfelt