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SIGIR
2008
ACM
15 years 6 months ago
Semi-supervised spam filtering: does it work?
The results of the 2006 ECML/PKDD Discovery Challenge suggest that semi-supervised learning methods work well for spam filtering when the source of available labeled examples diff...
Mona Mojdeh, Gordon V. Cormack
ICTAI
2009
IEEE
15 years 4 months ago
Stochastic Offline Programming
We propose a framework which we call stochastic offline programming (SOP). The idea is to embed the development of combinatorial algorithms in an off-line learning environment whi...
Yuri Malitsky, Meinolf Sellmann
ML
2010
ACM
147views Machine Learning» more  ML 2010»
15 years 1 months ago
An ensemble uncertainty aware measure for directed hill climbing ensemble pruning
This paper proposes a new measure for ensemble pruning via directed hill climbing, dubbed Uncertainty Weighted Accuracy (UWA), which takes into account the uncertainty of the decis...
Ioannis Partalas, Grigorios Tsoumakas, Ioannis P. ...
ICRA
2007
IEEE
157views Robotics» more  ICRA 2007»
16 years 1 months ago
Towards Mapping of Cities
— Map learning is a fundamental task in mobile robotics because maps are required for a series of high level applications. In this paper, we address the problem of building maps ...
Patrick Pfaff, Rudolph Triebel, Cyrill Stachniss, ...
NIPS
2004
15 years 8 months ago
Object Classification from a Single Example Utilizing Class Relevance Metrics
We describe a framework for learning an object classifier from a single example. This goal is achieved by emphasizing the relevant dimensions for classification using available ex...
Michael Fink 0002