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ICSM
2002
IEEE
15 years 5 months ago
Combining Software Quality Predictive Models: An Evolutionary Approach
During the past ten years, a large number of quality models have been proposed in the literature. In general, the goal of these models is to predict a quality factor starting from...
Salah Bouktif, Houari A. Sahraoui, Balázs K...
107
Voted
ESANN
2001
15 years 2 months ago
Motor control and movement optimization learned by combining auto-imitative and genetic algorithms
In sensorimotor behaviour often a great movement execution variability is combined with a relatively low error in reaching the intended goal. This phenomenon can especially be obse...
Karl-Theodor Kalveram, Ulrich Nakte
110
Voted
IANDC
2008
150views more  IANDC 2008»
15 years 26 days ago
Hierarchical combination of intruder theories
Recently automated deduction tools have proved to be very effective for detecting attacks on cryptographic protocols. These analysis can be improved, for finding more subtle weakn...
Yannick Chevalier, Michaël Rusinowitch
ICML
2007
IEEE
16 years 1 months ago
Learning to combine distances for complex representations
The k-Nearest Neighbors algorithm can be easily adapted to classify complex objects (e.g. sets, graphs) as long as a proper dissimilarity function is given over an input space. Bo...
Adam Woznica, Alexandros Kalousis, Melanie Hilario
ICML
2005
IEEE
16 years 1 months ago
Harmonic mixtures: combining mixture models and graph-based methods for inductive and scalable semi-supervised learning
Graph-based methods for semi-supervised learning have recently been shown to be promising for combining labeled and unlabeled data in classification problems. However, inference f...
Xiaojin Zhu, John D. Lafferty