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CSDA
2007
128views more  CSDA 2007»
14 years 11 months ago
Regularized linear and kernel redundancy analysis
Redundancy analysis (RA) is a versatile technique used to predict multivariate criterion variables from multivariate predictor variables. The reduced-rank feature of RA captures r...
Yoshio Takane, Heungsun Hwang
JWSR
2007
89views more  JWSR 2007»
14 years 11 months ago
Fully Automated Web Services Discovery and Composition Through Concept Covering and Concept Abduction
: We propose a framework and polynomial algorithms for semantic-based automated Web service composition, fully compliant with Semantic Web technologies. The approach exploits the r...
Azzurra Ragone, Tommaso Di Noia, Eugenio Di Sciasc...
CORR
2002
Springer
132views Education» more  CORR 2002»
14 years 11 months ago
Robust Feature Selection by Mutual Information Distributions
Mutual information is widely used in artificial intelligence, in a descriptive way, to measure the stochastic dependence of discrete random variables. In order to address question...
Marco Zaffalon, Marcus Hutter
JSA
2000
96views more  JSA 2000»
14 years 11 months ago
Schedulability analysis of periodic and aperiodic tasks with resource constraints
In this paper, we address the problem of scheduling hybrid task sets consisting of hard periodic and soft aperiodic tasks that may share resources in exclusive mode in a dynamic e...
Giuseppe Lipari, Giorgio C. Buttazzo
NECO
2000
190views more  NECO 2000»
14 years 11 months ago
Generalized Discriminant Analysis Using a Kernel Approach
We present a new method that we call Generalized Discriminant Analysis (GDA) to deal with nonlinear discriminant analysis using kernel function operator. The underlying theory is ...
G. Baudat, Fatiha Anouar