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GECCO
2004
Springer
134views Optimization» more  GECCO 2004»
15 years 11 months ago
A Descriptive Encoding Language for Evolving Modular Neural Networks
Evolutionary algorithms are a promising approach for the automated design of artificial neural networks, but they require a compact and efficient genetic encoding scheme to repres...
Jae-Yoon Jung, James A. Reggia
TMC
2011
145views more  TMC 2011»
15 years 1 months ago
MAC Layer Throughput Estimation in Impulse-Radio UWB Networks
—The inherent channel characteristics of impulse-based UWB networks affect the MAC layer performance significantly. Most previous studies on evaluating MAC protocols are based o...
Ioannis Broustis, Aggelos Vlavianos, Prashant Kris...
PDP
2003
IEEE
15 years 11 months ago
Building Grid MPI Applications from Modular Components
Coupling grid applications developed by different teams requires code modification and high S/W engineering effort. In the Ensemble methodology message passing components are deve...
Yiannis Cotronis
DSN
2000
IEEE
15 years 10 months ago
From Crash Fault-Tolerance to Arbitrary-Fault Tolerance: Towards a Modular Approach
This paper presents a generic methodology to transform a protocol resilient to process crashes into one resilient to arbitrary failures in the case where processes run the same te...
Roberto Baldoni, Jean-Michel Hélary, Michel...
IALP
2009
15 years 3 months ago
A Modular Cascaded Approach to Complete Parsing
In this paper, we propose a modular cascaded approach to data driven dependency parsing. Each module or layer leading to the complete parse produces a linguistically valid partial...
Samar Husain, Phani Gadde, Bharat Ram Ambati, Dipt...