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ICML
2006
IEEE
16 years 4 months ago
An analysis of graph cut size for transductive learning
I consider the setting of transductive learning of vertex labels in graphs, in which a graph with n vertices is sampled according to some unknown distribution; there is a true lab...
Steve Hanneke
117
Voted
QSIC
2008
IEEE
15 years 10 months ago
Using Machine Learning to Refine Black-Box Test Specifications and Test Suites
In the context of open source development or software evolution, developers are often faced with test suites which have been developed with no apparent rationale and which may nee...
Lionel C. Briand, Yvan Labiche, Zaheer Bawar
SEMCO
2008
IEEE
15 years 10 months ago
IKHarvester - Informal eLearning with Semantic Web Harvesting
Only recently, researchers and practitioners alike have begun to fully understand the potential of eLearning and have concentrated on new tools and technologies for creating, captu...
Jacek Jankowski, Adam Westerski, Sebastian Ryszard...
ROMAN
2007
IEEE
150views Robotics» more  ROMAN 2007»
15 years 10 months ago
Asymmetric Interpretations of Positive and Negative Human Feedback for a Social Learning Agent
— The ability for people to interact with robots and teach them new skills will be crucial to the successful application of robots in everyday human environments. In order to des...
Andrea Lockerd Thomaz, Cynthia Breazeal
105
Voted
ECTEL
2007
Springer
15 years 9 months ago
Flexible Processes in Project-Centred Learning
Project-centred learning is increasingly used both in academia and in companies; universities train students to master complex tasks, often suggested by real-life situations, while...
Stefano Ceri, Maristella Matera, Alessandro Raffio...