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ICML
2002
IEEE
14 years 10 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
ICDAR
2007
IEEE
14 years 4 months ago
Building Compact MQDF Classifier for Off-line Handwritten Chinese Characters by Subspace Distribution Sharing
Quadratic classifier with modified quadratic discriminant function (MQDF) has been successfully applied to recognition of handwritten characters to achieve very good performance. ...
Teng Long, Lianwen Jin
ISCC
2007
IEEE
14 years 4 months ago
Faithful Distributed Shapley Mechanisms for Sharing the Cost of Multicast Transmissions
Sharing the cost of multicast transmissions was studied in the past and two mechanisms, Marginal Cost and Shapley Value, were proposed. Compared to the Marginal Cost Mechanism the...
Nandan Garg, Daniel Grosu
P2P
2007
IEEE
108views Communications» more  P2P 2007»
14 years 4 months ago
Distributed, Automatic File Description Tuning in Peer-to-Peer File-Sharing Systems
Peers in peer-to-peer file-sharing systems cannot effectively share their files if they are poorly described. Terms one user employs to describe an instance of a file may not be t...
Dongmei Jia, Wai Gen Yee, Linh Thai Nguyen, Ophir ...
ACSC
2003
IEEE
14 years 3 months ago
Policies for Sharing Distributed Probabilistic Beliefs
In this paper, we present several general policies for deciding when to share probabilistic beliefs between agents for distributed monitoring. In order to evaluate these policies,...
Christopher Leckie, Kotagiri Ramamohanarao