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» Using State Modules for Adaptive Query Processing
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ICML
2008
IEEE
14 years 8 months ago
Reinforcement learning with limited reinforcement: using Bayes risk for active learning in POMDPs
Partially Observable Markov Decision Processes (POMDPs) have succeeded in planning domains that require balancing actions that increase an agent's knowledge and actions that ...
Finale Doshi, Joelle Pineau, Nicholas Roy
TC
2008
13 years 7 months ago
Self-Adaptive Configuration of Visualization Pipeline Over Wide-Area Networks
Next-generation scientific applications require the capability to visualize large archival data sets or on-going computer simulations of physical and other phenomena over wide-area...
Qishi Wu, Jinzhu Gao, Mengxia Zhu, Nageswara S. V....
COLT
2008
Springer
13 years 9 months ago
Learning Acyclic Probabilistic Circuits Using Test Paths
We define a model of learning probabilistic acyclic circuits using value injection queries, in which an arbitrary subset of wires is set to fixed values, and the value on the sing...
Dana Angluin, James Aspnes, Jiang Chen, David Eise...
ICDE
2011
IEEE
222views Database» more  ICDE 2011»
12 years 11 months ago
Dynamic prioritization of database queries
— Enterprise database systems handle a variety of diverse query workloads that are of different importance to the business. For example, periodic reporting queries are usually mi...
Sivaramakrishnan Narayanan, Florian Waas
ADBIS
2007
Springer
126views Database» more  ADBIS 2007»
13 years 11 months ago
Optimal Query Mapping in Mobile OLAP
Query mapping to aggregation lattices is used in order to exploit sub-cube dependencies in multidimensional databases. It is employed in mobile OLAP dissemination systems, in order...
Ilias Michalarias, Hans-Joachim Lenz