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SDM
2007
SIAM
130views Data Mining» more  SDM 2007»
15 years 8 months ago
Towards Attack-Resilient Geometric Data Perturbation
Data perturbation is a popular technique for privacypreserving data mining. The major challenge of data perturbation is balancing privacy protection and data quality, which are no...
Keke Chen, Gordon Sun, Ling Liu
EVOW
2007
Springer
16 years 25 days ago
Modeling Genetic Networks: Comparison of Static and Dynamic Models
Biomedical research has been revolutionized by high-throughput techniques and the enormous amount of biological data they are able to generate. The interest shown over network mode...
Cristina Rubio-Escudero, Oscar Harari, Oscar Cord&...
148
Voted
ETFA
2005
IEEE
16 years 9 days ago
A real-time task model based on ideal instant
In many digital control applications, data acquisition and process control are time-critical actions, assumed to be instantaneous and strictly periodic. However, aspects related t...
F. R. de la Rocha, R. S. de Oliveira
178
Voted
IJCAI
2003
15 years 8 months ago
Semi-Supervised Learning with Explicit Misclassification Modeling
This paper investigates a new approach for training discriminant classifiers when only a small set of labeled data is available together with a large set of unlabeled data. This a...
Massih-Reza Amini, Patrick Gallinari
AUTOMATICA
2004
77views more  AUTOMATICA 2004»
15 years 6 months ago
Non-asymptotic quality assessment of generalised FIR models with periodic inputs
In any real-life identification problem, only a finite number of data points is available. On the other hand, almost all results in stochastic identification pertain to asymptotic...
Marco C. Campi, Su Ki Ooi, Erik Weyer