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ICANN
2009
Springer
15 years 6 months ago
Profiling of Mass Spectrometry Data for Ovarian Cancer Detection Using Negative Correlation Learning
This paper proposes a novel Mass Spectrometry data profiling method for ovarian cancer detection based on negative correlation learning (NCL). A modified Smoothed Nonlinear Energy ...
Shan He, Huanhuan Chen, Xiaoli Li, Xin Yao
ARCS
2009
Springer
15 years 9 months ago
Improving Memory Subsystem Performance Using ViVA: Virtual Vector Architecture
The disparity between microprocessor clock frequencies and memory latency is a primary reason why many demanding applications run well below peak achievable performance. Software c...
Joseph Gebis, Leonid Oliker, John Shalf, Samuel Wi...
ICML
2005
IEEE
16 years 3 months ago
Preference learning with Gaussian processes
In this paper, we propose a probabilistic kernel approach to preference learning based on Gaussian processes. A new likelihood function is proposed to capture the preference relat...
Wei Chu, Zoubin Ghahramani
MODELLIERUNG
2004
15 years 4 months ago
Modeling Socio-Technical Processes in e-Commerce Scenarios
: We consider socio-technical processes, i.e. processes where machines as well as humans participate. Typical examples occur in sales processes in e-commerce. Three modeling tasks ...
Michael M. Richter, Armin Stahl
CIKM
2005
Springer
15 years 8 months ago
Learning to summarise XML documents using content and structure
Documents formatted in eXtensible Markup Language (XML) are becoming increasingly available in collections of various document types. In this paper, we present an approach for the...
Massih-Reza Amini, Anastasios Tombros, Nicolas Usu...