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INTERSENSE
2006
ACM
15 years 3 months ago
Addressing network heterogeneity in pervasive application environments
— Pervasive computing applications typically involve rich interactions and heterogeneous network types; e.g. involving the collation of data from a sensor network into a replicat...
Paul Grace, Geoff Coulson, Gordon S. Blair, Barry ...
ICML
2009
IEEE
15 years 10 months ago
Structure learning of Bayesian networks using constraints
This paper addresses exact learning of Bayesian network structure from data and expert's knowledge based on score functions that are decomposable. First, it describes useful ...
Cassio Polpo de Campos, Zhi Zeng, Qiang Ji
PERVASIVE
2009
Springer
15 years 4 months ago
Methodologies for Continuous Cellular Tower Data Analysis
This paper presents novel methodologies for the analysis of continuous cellular tower data from 215 randomly sampled subjects in a major urban city. We demonstrate the potential of...
Nathan Eagle, John A. Quinn, Aaron Clauset
AAAI
1996
14 years 11 months ago
A Clinician's Tool for Analyzing Non-Compliance
We describe a computer program to assist a clinician with assessing the e cacy of treatments in experimental studies for which treatment assignment is random but subject complianc...
David Maxwell Chickering, Judea Pearl
EWSN
2007
Springer
15 years 9 months ago
An Energy-Efficient K-Hop Clustering Framework for Wireless Sensor Networks
Many applications in wireless sensor networks (WSNs) benefit significantly from organizing nodes into groups, called clusters, because data aggregation and data filtering applied i...
Quanbin Chen, Jian Ma, Yanmin Zhu, Dian Zhang, Lio...