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GECCO
2004
Springer
134views Optimization» more  GECCO 2004»
14 years 1 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»
13 years 2 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
14 years 1 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
14 years 4 days 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
13 years 5 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...