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VLDB
2004
ACM
97views Database» more  VLDB 2004»
15 years 11 months 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
15 years 11 months 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 5 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 20 days 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