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» Learning from the Pitfalls of a Case Sharing Web
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75
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ICML
2010
IEEE
14 years 10 months ago
Bayesian Multi-Task Reinforcement Learning
We consider the problem of multi-task reinforcement learning where the learner is provided with a set of tasks, for which only a small number of samples can be generated for any g...
Alessandro Lazaric, Mohammad Ghavamzadeh
103
Voted
FLAIRS
2009
14 years 7 months ago
Mapping Grounded Object Properties across Perceptually Heterogeneous Embodiments
As robots become more common, it becomes increasingly useful for them to communicate and effectively share knowledge that they have learned through their individual experiences. L...
Zsolt Kira
87
Voted
ICCBR
2005
Springer
15 years 3 months ago
Language Games: Solving the Vocabulary Problem in Multi-Case-Base Reasoning
The problem of heterogeneous case representation poses a major obstacle to realising real-life multi-case-base reasoning (MCBR) systems. The knowledge overhead in developing and ma...
Paolo Avesani, Conor Hayes, Marco Cova
QSIC
2007
IEEE
15 years 3 months ago
Learning Effective Oracle Comparator Combinations for Web Applications
Web application testers need automated, effective approaches to validate the test results of complex, evolving web applications. In previous work, we developed a suite of automate...
Sara Sprenkle, Emily Hill, Lori L. Pollock
68
Voted
HICSS
2010
IEEE
154views Biometrics» more  HICSS 2010»
15 years 4 months ago
Towards an Understanding of Social Software: The Case of Arinia
This paper presents the case of Arinia, a custommade piece of social software with strong similarities to today’s microblogging applications. Arinia has been in use in a medium-...
Stuart J. Barnes, Martin Böhringer, Christian...