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ICDM
2005
IEEE
116views Data Mining» more  ICDM 2005»
15 years 10 months ago
Learning Functional Dependency Networks Based on Genetic Programming
Bayesian Network (BN) is a powerful network model, which represents a set of variables in the domain and provides the probabilistic relationships among them. But BN can handle dis...
Wing-Ho Shum, Kwong-Sak Leung, Man Leung Wong
EUROCRYPT
1999
Springer
15 years 8 months ago
New Public Key Cryptosystems Based on the Dependent-RSA Problems
Since the Diffie-Hellman paper, asymmetric encryption has been a very important topic, and furthermore ever well studied. However, between the efficiency of RSA and the security of...
David Pointcheval
PADS
1997
ACM
15 years 8 months ago
Optimistic Distributed Simulation Based on Transitive Dependency Tracking
In traditional optimistic distributed simulation protocols, a logical process(LP) receiving a straggler rolls back and sends out anti-messages. Receiver of an anti-message may als...
Om P. Damani, Yi-Min Wang, Vijay K. Garg
DMIN
2009
142views Data Mining» more  DMIN 2009»
15 years 2 months ago
Action Selection in Customer Value Optimization: An Approach Based on Covariate-Dependent Markov Decision Processes
Typical methods in CRM marketing include action selection on the basis of Markov Decision Processes with fixed transition probabilities on the one hand, and scoring customers separ...
Angi Roesch, Harald Schmidbauer
DKE
2000
102views more  DKE 2000»
15 years 4 months ago
A Generic Framework for the Modeling of Contexts and its Applications
: Large information bases that are used by several different users and applications accommodate the demands of their users more effectively, if they can be split into possibly over...
Renate Motschnig-Pitrik