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BIBE
2009
IEEE
131views Bioinformatics» more  BIBE 2009»
15 years 10 months ago
Learning Scaling Coefficient in Possibilistic Latent Variable Algorithm from Complex Diagnosis Data
—The Possibilistic Latent Variable (PLV) clustering algorithm is a powerful tool for the analysis of complex datasets due to its robustness toward data distributions of different...
Zong-Xian Yin
FLAIRS
2008
15 years 8 months ago
On Using SVM and Kolmogorov Complexity for Spam Filtering
As a side effect of e-marketing strategy the number of spam e-mails is rocketing, the time and cost needed to deal with spam as well. Spam filtering is one of the most difficult t...
Sihem Belabbes, Gilles Richard
DAGSTUHL
1997
15 years 8 months ago
Spotting Structure in Complex Time Dependent Flow
Analyzing structure in complex time dependent flow fields is a challenging problem. This paper describes the use of spot noise for the visualization of this type of fields. Spo...
Wim C. de Leeuw, Robert van Liere
AAAI
1994
15 years 7 months ago
Experience-Aided Diagnosis for Complex Devices
This paper presents a novel approach to diagnosis which addresses the two problems - computational complexity of abduction and device models - that have prevented model-based diag...
Michel P. Féret, Janice I. Glasgow
ENTCS
2007
98views more  ENTCS 2007»
15 years 6 months ago
Evaluating Complex MAC Protocols for Sensor Networks with APMC
In this paper we present an analysis of a MAC (Medium Access Control) protocol for wireless sensor networks. The purpose of this protocol is to manage wireless media access by con...
Michaël Cadilhac, Thomas Hérault, Rich...