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AIIA
2001
Springer
15 years 10 months ago
A Knowledge-Based Neurocomputing Approach to Extract Refined Linguistic Rules from Data
– This paper proposes a knowledge-based neurocomputing approach to extract and refine a set of linguistic rules from data. A neural network is designed along with its learning al...
Giovanna Castellano, Anna Maria Fanelli
CDC
2009
IEEE
123views Control Systems» more  CDC 2009»
15 years 9 months ago
A greedy algorithm for the identification of quantum systems
The control of quantum phenomena is a topic that has carried out many challenging problems. Among others, the Hamiltonian identification, i.e, the inverse problem associated with ...
Yvon Maday, Julien Salomon
EUROCRYPT
2006
Springer
15 years 9 months ago
The Security of Triple Encryption and a Framework for Code-Based Game-Playing Proofs
We show that, in the ideal-cipher model, triple encryption (the cascade of three independently-keyed blockciphers) is more secure than single or double encryption, thereby resolvin...
Mihir Bellare, Phillip Rogaway
DEXA
2008
Springer
130views Database» more  DEXA 2008»
15 years 7 months ago
Classifying Evolving Data Streams Using Dynamic Streaming Random Forests
We consider the problem of data-stream classification, introducing a stream-classification algorithm, Dynamic Streaming Random Forests, that is able to handle evolving data streams...
Hanady Abdulsalam, David B. Skillicorn, Patrick Ma...
141
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AMW
2010
15 years 6 months ago
Minimising RDF Graphs under Rules and Constraints Revisited
Based on practical observations on rule-based inference on RDF data, we study the problem of redundancy elimination in RDF in the presence of rules (in the form of Datalog rules) a...
Reinhard Pichler, Axel Polleres, Sebastian Skritek...