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» Estimation of Chaotic Probabilities
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ISCI
2008
137views more  ISCI 2008»
13 years 9 months ago
Stochastic dominance-based rough set model for ordinal classification
In order to discover interesting patterns and dependencies in data, an approach based on rough set theory can be used. In particular, Dominance-based Rough Set Approach (DRSA) has...
Wojciech Kotlowski, Krzysztof Dembczynski, Salvato...
IJON
2006
131views more  IJON 2006»
13 years 9 months ago
Optimizing blind source separation with guided genetic algorithms
This paper proposes a novel method for blindly separating unobservable independent component (IC) signals based on the use of a genetic algorithm. It is intended for its applicati...
J. M. Górriz, Carlos García Puntonet...
JMLR
2008
110views more  JMLR 2008»
13 years 9 months ago
Cross-Validation Optimization for Large Scale Structured Classification Kernel Methods
We propose a highly efficient framework for penalized likelihood kernel methods applied to multiclass models with a large, structured set of classes. As opposed to many previous a...
Matthias W. Seeger
CSL
2007
Springer
13 years 9 months ago
Discriminative semi-parametric trajectory model for speech recognition
Hidden Markov Models (HMMs) are the most commonly used acoustic model for speech recognition. In HMMs, the probability of successive observations is assumed independent given the ...
K. C. Sim, M. J. F. Gales
JPDC
2006
87views more  JPDC 2006»
13 years 9 months ago
Honeypot back-propagation for mitigating spoofing distributed Denial-of-Service attacks
Any packet destined to a honeypot machine (that is, a decoy server machine) is most probably an attack packet. We propose honeypot back-propagation, a scheme that traces attack pa...
Sherif M. Khattab, Rami G. Melhem, Daniel Moss&eac...