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» Evaluating the Robustness of Learning from Implicit Feedback
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JMLR
2008
104views more  JMLR 2008»
15 years 6 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»
16 years 24 days 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
15 years 11 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
15 years 11 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
15 years 11 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