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ECAI
2000
Springer
14 years 2 months ago
Learning Classification taxonomies from a classification knowledge based system
Knowledge-based systems (KBS) are not necessarily based on well-defined ontologies. In particular it is possible to build KBS for classification problems, where there is little con...
Hendra Suryanto, Paul Compton
FUIN
2002
132views more  FUIN 2002»
13 years 10 months ago
RIONA: A New Classification System Combining Rule Induction and Instance-Based Learning
The article describes a method combining two widely-used empirical approaches to learning from examples: rule induction and instance-based learning. In our algorithm (RIONA) decisi...
Grzegorz Góra, Arkadiusz Wojna
ESSMAC
2003
Springer
14 years 3 months ago
Nonlinear Predictive Control with a Gaussian Process Model
Abstract. Gaussian process models provide a probabilistic non-parametric modelling approach for black-box identification of nonlinear dynamic systems. The Gaussian processes can h...
Jus Kocijan, Roderick Murray-Smith
IPPS
2003
IEEE
14 years 3 months ago
Homeostatic and Tendency-Based CPU Load Predictions
The dynamic nature of a resource-sharing environment means that applications must be able to adapt their behavior in response to changes in system status. Predictions of future sy...
Lingyun Yang, Ian T. Foster, Jennifer M. Schopf
TCOM
2010
106views more  TCOM 2010»
13 years 8 months ago
On the system level prediction of joint time frequency spreading systems with carrier phase noise
- Phase noise is a topic of theoretical and practical interest in electronic circuits. Although progress has been made in the characterization of its description, there are still c...
Youssef Nasser, Mathieu Des Noes, Laurent Ros, Gen...