(Enter summary)
Abstract: . The automatic construction of classifiers (programs able to
correctly classify data collected from the real world) is one of the major
problems in pattern recognition and in a wide area related to Artificial
Intelligence, including Data Mining. In this paper we present G-Net, a
distributed algorithm able to infer classifiers from pre-collected data, and
its implementation on PC-based Networks of Workstations (PC-NOWs).
In order to effectively exploit the computing power provided by... (Update)
Context of citations to this paper: More
.... know to all the Executors) The above load balancing algorithm satisfies all the conditions required by the hydrodynamic framework [1], so it is guaranteed to converge geometrically to the optimal solution. 3.3 Dynamically Distributing Rule Evaluations among Matchers As...
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BibTeX entry: (Update)
Anglano, C., Giordana, A., and Lo Bello, G. High Performance Knowledge Extraction from Data on PC-based Networks of Workstations. Tech. rep. Available from http://www.di.unito.it/~ mino/papers.html. http://citeseer.ist.psu.edu/313843.html More
@inproceedings{ anglano99highperformance,
author = "Cosimo Anglano and Attilio Giordana and Giuseppe Lo Bello",
title = "High-Performance Knowledge Extraction from Data on {PC}-Based Networks of Workstations",
booktitle = "{IPPS}/{SPDP} Workshops",
pages = "1130-1144",
year = "1999",
url = "citeseer.ist.psu.edu/313843.html" }
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An Experimental Evaluation of Coevolutive Concept Learning
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A Network Genetic Algorithm for Concept Learning
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High Performance Knowledge Extraction from Data on PC-based ..
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Theoretical Analysis of the Heterogeneous Dynamic Load-Balan..
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