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VLDB
2004
ACM
97views Database» more  VLDB 2004»
16 years 4 days ago
Progressive Optimization in Action
Progressive Optimization (POP) is a technique to make query plans robust, and minimize need for DBA intervention, by repeatedly re-optimizing a query during runtime if the cardina...
Vijayshankar Raman, Volker Markl, David E. Simmen,...
PERCOM
2003
ACM
16 years 2 days ago
Object Labelling from Human Action Recognition
This paper presents a method for finding and classifying objects within real-world scenes by using the activity of humans interacting with these objects to infer the object’s i...
Patrick Peursum, Svetha Venkatesh, Geoff A. W. Wes...
ATAL
2008
Springer
15 years 8 months ago
Reinforcement learning for DEC-MDPs with changing action sets and partially ordered dependencies
Decentralized Markov decision processes are frequently used to model cooperative multi-agent systems. In this paper, we identify a subclass of general DEC-MDPs that features regul...
Thomas Gabel, Martin A. Riedmiller
NN
2007
Springer
15 years 6 months ago
From memory-based decisions to decision-based movements: A model of interval discrimination followed by action selection
The interval discrimination task is a classical experimental paradigm that is employed to study working memory and decision making and typically involves four phases. First, the s...
Prashant Joshi
ECTEL
2009
Springer
16 years 1 months ago
A New Framework for Dynamic Adaptations and Actions
Adaptive course generation is more flexible if it includes mechanisms deciding just-in-time which exercises, which external resources, and which tools to include for an individual...
Carsten Ullrich, Tianxiang Lu, Erica Melis