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» Bias Learning, Knowledge Sharing
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136
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METRICS
2005
IEEE
15 years 9 months ago
Can We Teach Empirical Software Engineering?
We report about an empirical software engineering course for PhD students. We introduce its syllabus and two different pedagogical strategies. The first strategy is based on indiv...
Maria Letizia Jaccheri, Thomas Østerlie
108
Voted
AAAI
2008
15 years 5 months ago
Potential-based Shaping in Model-based Reinforcement Learning
Potential-based shaping was designed as a way of introducing background knowledge into model-free reinforcement-learning algorithms. By identifying states that are likely to have ...
John Asmuth, Michael L. Littman, Robert Zinkov
134
Voted
JKM
2007
203views more  JKM 2007»
15 years 3 months ago
Motivation, incentives and organisational culture
Purpose – The purpose of this paper, drawing as it does on earlier research, is to provide the context for a discussion on the use of rewards and recognition programmes in knowl...
Patricia Milne
126
Voted
HICSS
2005
IEEE
144views Biometrics» more  HICSS 2005»
15 years 9 months ago
Learning with Weblogs: An Empirical Investigation
The study investigates the impact of weblog use on individual learning in a university environment. Weblogs are a relatively new knowledge sharing technology, which enables people...
Helen S. Du, Christian Wagner
164
Voted
WIMOB
2008
IEEE
15 years 10 months ago
An Ad Hoc Network Infrastructure: Communication and Information Sharing for Emergency Response
— During an emergency response, access to a reliable communication infrastructure is required to exchange accurate information in a timely manner. Various communication technolog...
Raheleh B. Dilmaghani, Ramesh R. Rao