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» Using Bayesian networks to analyze expression data
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2011
14 years 11 months ago
MC-LMAC: A multi-channel MAC protocol for wireless sensor networks
Abstract—In traditional wireless sensor network (WSN) applications, energy efficiency is considered to be the most important concern whereas utilizing the use of bandwidth and m...
Özlem Durmaz Incel, Lodewijk van Hoesel, Pier...
AINA
2007
IEEE
15 years 8 months ago
Domain Modelling for Ubiquitous Computing Applications
Many Ubiquitous computing applications can be considered as planning and acting problems in environments characterised by uncertainty and partial observability. Such systems rely ...
Anthony Harrington, Vinny Cahill
BMCBI
2006
129views more  BMCBI 2006»
15 years 4 months ago
Identifying genes that contribute most to good classification in microarrays
Background: The goal of most microarray studies is either the identification of genes that are most differentially expressed or the creation of a good classification rule. The dis...
Stuart G. Baker, Barnett S. Kramer
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WCNC
2008
IEEE
15 years 10 months ago
Directional Dependence of Large Scale Parameters in Wireless Channel Models
—In this paper the autocorrelation properties of shadow fading and angle spread at both the base station (BS) and at the mobile station (MS) are analyzed using urban macro cellul...
Niklas Jalden, Per Zetterberg, Björn E. Otter...
ICANN
2001
Springer
15 years 8 months ago
Incremental Support Vector Machine Learning: A Local Approach
Abstract. In this paper, we propose and study a new on-line algorithm for learning a SVM based on Radial Basis Function Kernel: Local Incremental Learning of SVM or LISVM. Our meth...
Liva Ralaivola, Florence d'Alché-Buc