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BMCBI
2007
194views more  BMCBI 2007»
13 years 9 months ago
Kernel-imbedded Gaussian processes for disease classification using microarray gene expression data
Background: Designing appropriate machine learning methods for identifying genes that have a significant discriminating power for disease outcomes has become more and more importa...
Xin Zhao, Leo Wang-Kit Cheung
CN
2006
106views more  CN 2006»
13 years 8 months ago
Model-based end-to-end available bandwidth inference using queueing analysis
End-to-end available bandwidth estimation between Internet hosts is important to understand network congestion and enhance the performance of Quality-of-Service (QoS) demanding ap...
Xiaojun Hei, Brahim Bensaou, Danny H. K. Tsang
IJRR
2008
139views more  IJRR 2008»
13 years 8 months ago
Learning to Control in Operational Space
One of the most general frameworks for phrasing control problems for complex, redundant robots is operational space control. However, while this framework is of essential importan...
Jan Peters, Stefan Schaal
CN
2007
146views more  CN 2007»
13 years 8 months ago
Autonomic control and personalization of a wireless access network
As ICT services are becoming more ubiquitous and mobile and access technologies grow to be more heterogeneous and complex, we are witnessing the increasing importance of two relat...
Nicola Blefari-Melazzi, Dario Di Sorte, Mauro Femm...
JCIT
2007
192views more  JCIT 2007»
13 years 8 months ago
Action Representation for Natural Language Interfaces to Agent Systems
In this paper, we outline a framework for the development of natural language interfaces to agent systems with a focus on action representation. The architecture comprises a natur...
Christel Kemke