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» An Empirical Evaluation of LFG-DOP
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ICONIP
2009
14 years 11 months ago
Tracking in Reinforcement Learning
Reinforcement learning induces non-stationarity at several levels. Adaptation to non-stationary environments is of course a desired feature of a fair RL algorithm. Yet, even if the...
Matthieu Geist, Olivier Pietquin, Gabriel Fricout
ICSE
2009
IEEE-ACM
14 years 11 months ago
Configuration aware prioritization techniques in regression testing
Configurable software lets users customize applications in many ways, and is becoming increasingly prevalent. Regression testing is an important but expensive way to build confide...
Xiao Qu
IAT
2010
IEEE
14 years 10 months ago
Predictive Analytics Using a Blackboard-Based Reasoning Agent
Significant increase in collected data for investigative tasks and the increased complexity of the reasoning process itself have made investigative analytical tasks more challengi...
Jia Yue, Anita Raja, William Ribarsky
CVPR
2011
IEEE
14 years 8 months ago
Supervised Hierarchical Pitman-Yor Process for Natural Scene Segmentation
From conventional wisdom and empirical studies of annotated data, it has been shown that visual statistics such as object frequencies and segment sizes follow power law distributi...
Alex Shyr, Trevor Darrell, Michael Jordan, Raquel ...
AAMAS
2011
Springer
14 years 8 months ago
Benchmarking hybrid algorithms for distributed constraint optimisation games
In this paper, we consider algorithms for distributed constraint optimisation problems (DCOPs). Using a potential game characterisation of DCOPs, we decompose six distributed DCOP...
Archie C. Chapman, Alex Rogers, Nicholas R. Jennin...