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MCS
2010
Springer
15 years 8 months ago
Choosing Parameters for Random Subspace Ensembles for fMRI Classification
Abstract. Functional magnetic resonance imaging (fMRI) is a noninvasive and powerful method for analysis of the operational mechanisms of the brain. fMRI classification poses a sev...
Ludmila I. Kuncheva, Catrin O. Plumpton
ACL
1992
15 years 8 months ago
Metonymy: Reassessment, Survey of Acceptability, and its Treatment in a Machine Translation System
In this article we outline a basic approach to treating metonymy properly in a multilingual machine translation system. This is the first attempt at treating metonymy in an machin...
Shin-ichiro Kamei, Takahiro Wakao
ENTCS
2007
98views more  ENTCS 2007»
15 years 6 months ago
Frameworks Based on Templates for Rigorous Model-driven Development
The engineering of systems that are acceptably correct is a hard problem. On the one hand, semi-formal modelling approaches that are used in practical, large-scale system developm...
Nuno Amálio, Fiona Polack, Susan Stepney
TNN
1998
111views more  TNN 1998»
15 years 6 months ago
Asymptotic distributions associated to Oja's learning equation for neural networks
— In this paper, we perform a complete asymptotic performance analysis of the stochastic approximation algorithm (denoted subspace network learning algorithm) derived from Oja’...
Jean Pierre Delmas, Jean-Francois Cardos
PUC
2007
116views more  PUC 2007»
15 years 6 months ago
Periodic properties of user mobility and access-point popularity
Understanding user mobility and its effect on access points (APs) is important in designing location-aware systems and wireless networks. Although various studies of wireless netwo...
Minkyong Kim, David Kotz