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IJON
2000
71views more  IJON 2000»
15 years 7 months ago
Variable selection using neural-network models
In this paper we propose an approach to variable selection that uses a neural-network model as the tool to determine which variables are to be discarded. The method performs a bac...
Giovanna Castellano, Anna Maria Fanelli
IJON
2000
85views more  IJON 2000»
15 years 7 months ago
Hebbian learning and temporary storage in the convergence-zone model of episodic memory
The Convergence-Zone model shows how sparse, random memory patterns can lead to one-shot storage and high capacity in the hippocampal component of the episodic memory system. This...
Michael Howe, Risto Miikkulainen
COMCOM
1998
73views more  COMCOM 1998»
15 years 7 months ago
Fuzzy multiobjective routing model in B-ISDN
Routing algorithms are required to guarantee the various quality-of-service (QoS) characteristics requested by the wide range of applications supported by Broadband Integrated Ser...
Emad Aboelela, Christos Douligeris
JOI
2010
101views more  JOI 2010»
15 years 6 months ago
Can epidemic models describe the diffusion of topics across disciplines?
This paper introduces a new approach to describe the spread of research topics across disciplines using epidemic models. The approach is based on applying individual-based models ...
Istvan Z. Kiss, Mark Broom, Paul G. Craze, Ismael ...
DANCE
2002
IEEE
16 years 15 days ago
Active Network Vision and Reality: Lessons from a Capsule-Based System
Although active networks have generated much debate in the research community, on the whole there has been little hard evidence to inform this debate. This paper aims to redress t...
David Wetherall