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» Toward network data independence
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109
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PC
2000
96views Management» more  PC 2000»
15 years 14 days ago
Multicast communication in wormhole-routed star graph interconnection networks
Multicast, an important communication mechanism, is frequently applied in parallel computing. The star graph interconnection network, when compared with the hypercube network, bei...
Tzung-Shi Chen, Neng-Chung Wang, Chih-Ping Chu
107
Voted
ML
2010
ACM
151views Machine Learning» more  ML 2010»
14 years 11 months ago
Inductive transfer for learning Bayesian networks
In several domains it is common to have data from different, but closely related problems. For instance, in manufacturing, many products follow the same industrial process but with...
Roger Luis, Luis Enrique Sucar, Eduardo F. Morales
AAAI
1996
15 years 2 months ago
Building Classifiers Using Bayesian Networks
Recent work in supervised learning has shown that a surprisingly simple Bayesian classifier with strong assumptions of independence among features, called naive Bayes, is competit...
Nir Friedman, Moisés Goldszmidt
114
Voted
ICNP
2005
IEEE
15 years 6 months ago
Typed Abstraction of Complex Network Compositions
straction of Complex Network Compositions∗ Azer Bestavros, Adam D. Bradley, Assaf J. Kfoury, and Ibrahim Matta Department of Computer Science Boston University The heterogeneity...
Azer Bestavros, Adam Bradley, Assaf J. Kfoury, Ibr...
IEAAIE
1994
Springer
15 years 4 months ago
Applying Blackboard Techniques to Real-Time Signal Processing and Multimedia Network Management
Two recent projects at ORA have used a blackboard framework during system design.1 DANA is a multimedia network monitoring system, while MARRS is a real-time passive radar system....
Randall J. Calistri-Yeh