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» Learning with Annotation Noise
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ECML
2007
Springer
15 years 3 months ago
Class Noise Mitigation Through Instance Weighting
We describe a novel framework for class noise mitigation that assigns a vector of class membership probabilities to each training instance, and uses the confidence on the current ...
Umaa Rebbapragada, Carla E. Brodley
PKDD
2004
Springer
97views Data Mining» more  PKDD 2004»
15 years 3 months ago
Dealing with Predictive-but-Unpredictable Attributes in Noisy Data Sources
Attribute noise can affect classification learning. Previous work in handling attribute noise has focused on those predictable attributes that can be predicted by the class and o...
Ying Yang, Xindong Wu, Xingquan Zhu
ISM
2006
IEEE
110views Multimedia» more  ISM 2006»
15 years 3 months ago
Navigational Indices and Content Interlinkage on the Fly
Lecture recording provides learning material for local and distance education. The TeleTeachingTool uses the most flexible screen recording technique to capture virtually any mate...
Peter Ziewer
ECML
2005
Springer
15 years 3 months ago
Model-Based Online Learning of POMDPs
Abstract. Learning to act in an unknown partially observable domain is a difficult variant of the reinforcement learning paradigm. Research in the area has focused on model-free m...
Guy Shani, Ronen I. Brafman, Solomon Eyal Shimony
IJCV
2007
211views more  IJCV 2007»
14 years 9 months ago
The CLEF 2005 Automatic Medical Image Annotation Task
In this paper, the automatic annotation task of the 2005 CLEF cross-language image retrieval campaign (ImageCLEF) is described. This paper focuses on the database used, the task s...
Thomas Deselaers, Henning Müller, Paul Clough...