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» Evaluating the Robustness of Learning from Implicit Feedback
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JMLR
2008
104views more  JMLR 2008»
13 years 7 months ago
Learning Reliable Classifiers From Small or Incomplete Data Sets: The Naive Credal Classifier 2
In this paper, the naive credal classifier, which is a set-valued counterpart of naive Bayes, is extended to a general and flexible treatment of incomplete data, yielding a new cl...
Giorgio Corani, Marco Zaffalon
IROS
2009
IEEE
230views Robotics» more  IROS 2009»
14 years 2 months ago
Stability and robustness analysis tools for marine robot localization and SLAM applications
— Our aim is to explore the fundamental stability issues of a robotic vehicle carrying out localization, mapping, and feedback control in a perturbation-filled environment. Moti...
Brendan Englot, Franz Hover
CSCW
2004
ACM
14 years 1 months ago
Learning from project history: a case study for software development
The lack of lightweight communication channels and other technical and sociological difficulties make it hard for new members of a non-collocated software development team to lea...
Davor Cubranic, Gail C. Murphy, Janice Singer, Kel...
ATAL
2004
Springer
14 years 1 months ago
Learning User Preferences for Wireless Services Provisioning
The problem of interest is how to dynamically allocate wireless access services in a competitive market which implements a take-it-or-leave-it allocation mechanism. In this paper ...
George Lee, Steven Bauer, Peyman Faratin, John Wro...
ICWE
2005
Springer
14 years 1 months ago
Automatic Optimization of Web Recommendations Using Feedback and Ontology Graphs
Abstract. Web recommendation systems have become a popular means to improve the usability of web sites. This paper describes the architecture of a rulebased recommendation system a...
Nick Golovin, Erhard Rahm