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» Observations and lessons learned from automated testing
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STTT
2008
162views more  STTT 2008»
13 years 7 months ago
Coping with large design spaces: design problem solving in fluidic engineering
Abstract This paper is about tool support for knowledgeintensive engineering tasks. In particular, it introduces software technology to assist the design of complex technical syste...
Benno Stein
TOOLS
2000
IEEE
13 years 11 months ago
Applying the Lessons of eXtreme Programming
Although eXtreme Programming has been explained by Kent Beck[1], there are many benefits to adopting eXtreme Programming (XP) practices in other development processes. The benefit...
Pete McBreen
ICML
1999
IEEE
13 years 12 months ago
Learning Hierarchical Performance Knowledge by Observation
Developing automated agents that intelligently perform complex real world tasks is time consuming and expensive. The most expensive part of developing these intelligent task perfo...
Michael van Lent, John E. Laird
CORR
2010
Springer
125views Education» more  CORR 2010»
13 years 7 months ago
Near-Optimal Bayesian Active Learning with Noisy Observations
We tackle the fundamental problem of Bayesian active learning with noise, where we need to adaptively select from a number of expensive tests in order to identify an unknown hypot...
Daniel Golovin, Andreas Krause, Debajyoti Ray
SIGUCCS
2006
ACM
14 years 1 months ago
Better results in mathematics lessons with a virtual personal teacher
In this paper we present the results of an experiment made with our e-librarian service ”MatES”, an e-Learning tool on fractions in mathematics. MatES allows students to enter...
Serge Linckels, Carole Dording, Christoph Meinel