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» Neural networks: Algorithms and applications
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DCOSS
2006
Springer
15 years 11 months ago
Contour Approximation in Sensor Networks
Abstract. We propose a distributed scheme called Adaptive-GroupMerge for sensor networks that, given a parameter k, approximates a geometric shape by a k-vertex polygon. The algori...
Chiranjeeb Buragohain, Sorabh Gandhi, John Hershbe...
CCS
2010
ACM
15 years 7 months ago
User-friendly matching protocol for online social networks
In this paper, we outline a privacy-preserving matching protocol for OSN (online social network) users to find their potential friends. With the proposed protocol, a logged-in use...
Qiang Tang
IJAR
2006
118views more  IJAR 2006»
15 years 7 months ago
Learning Bayesian network parameters under order constraints
We consider the problem of learning the parameters of a Bayesian network from data, while taking into account prior knowledge about the signs of influences between variables. Such...
A. J. Feelders, Linda C. van der Gaag
DKE
2007
95views more  DKE 2007»
15 years 7 months ago
Strategies for improving the modeling and interpretability of Bayesian networks
One of the main factors for the knowledge discovery success is related to the comprehensibility of the patterns discovered by applying data mining techniques. Amongst which we can...
Ádamo L. de Santana, Carlos Renato Lisboa F...
PE
2002
Springer
124views Optimization» more  PE 2002»
15 years 7 months ago
Continuous-time hidden Markov models for network performance evaluation
In this paper, we study the use of continuous-time hidden Markov models (CT-HMMs) for network protocol and application performance evaluation. We develop an algorithm to infer the...
Wei Wei, Bing Wang, Donald F. Towsley