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DMSN
2010
ACM
15 years 6 months ago
Facilitating fine grained data provenance using temporal data model
E-science applications use fine grained data provenance to maintain the reproducibility of scientific results, i.e., for each processed data tuple, the source data used to proce...
Mohammad Rezwanul Huq, Andreas Wombacher, Peter M....
FGCS
2010
111views more  FGCS 2010»
15 years 6 months ago
Autonomic metered pricing for a utility computing service
An increasing number of providers are offering utility computing services which require users to pay only when they use. Most of these providers currently charge users for metere...
Chee Shin Yeo, Srikumar Venugopal, Xingchen Chu, R...
IAJIT
2010
157views more  IAJIT 2010»
15 years 6 months ago
Fast Cryptographic Privacy Preserving Association Rules Mining on Distributed Homogenous Database
: Privacy is one of the most important properties of an information system must satisfy, in which systems the need to share information among different, not trusted entities, the p...
Ashraf El-Sisi
IBERAMIA
2010
Springer
15 years 6 months ago
Dynamic Reward Shaping: Training a Robot by Voice
Reinforcement Learning is commonly used for learning tasks in robotics, however, traditional algorithms can take very long training times. Reward shaping has been recently used to ...
Ana C. Tenorio-Gonzalez, Eduardo F. Morales, Luis ...
JFP
2008
97views more  JFP 2008»
15 years 6 months ago
HM(X) type inference is CLP(X) solving
The HM(X) system is a generalization of the Hindley/Milner system parameterized in the constraint domain X. Type inference is performed by generating constraints out of the progra...
Martin Sulzmann, Peter J. Stuckey
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