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ICML
2002
IEEE
16 years 1 months ago
Learning to Share Distributed Probabilistic Beliefs
In this paper, we present a general machine learning approach to the problem of deciding when to share probabilistic beliefs between agents for distributed monitoring. Our approac...
Christopher Leckie, Kotagiri Ramamohanarao
ICPR
2002
IEEE
16 years 1 months ago
Graph of Neural Networks for Pattern Recognition
This paper presents a new architecture of neural networks designed for pattern recognition. The concept of induction graphs coupled with a divide-and-conquer strategy defines a Gr...
Hubert Cardot, Olivier Lezoray
79
Voted
HOTI
2002
IEEE
15 years 5 months ago
Radioport: A Radio Network for Monitoring and Diagnosing Computer Systems
A radio network is described for configuring, monitoring, and diagnosing the components of a computer system. Such a network offers several advantages: (a) it improves the robustn...
Hans Eberle
89
Voted
IEEEAMS
2002
IEEE
15 years 5 months ago
Gathercast with Active Networks
Small packets constitute a large fraction of packets in the Internet. Gathercast is a network layer service that combines small packets going to the same destination into a bigger...
Yu He, Cauligi S. Raghavendra, Steven Berson
116
Voted
IR
2002
15 years 9 days ago
Hierarchical Text Categorization Using Neural Networks
This paper presents the design and evaluation of a text categorization method based on the Hierarchical Mixture of Experts model. This model uses a divide and conquer principle to ...
Miguel E. Ruiz, Padmini Srinivasan