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ICML
2006
IEEE
16 years 7 months ago
Cost-sensitive learning with conditional Markov networks
There has been a recent, growing interest in classification and link prediction in structured domains. Methods such as conditional random fields and relational Markov networks sup...
Prithviraj Sen, Lise Getoor
DMSN
2007
ACM
15 years 10 months ago
Similarity-aware query allocation in sensor networks with multiple base stations
In this paper, we consider a large scale sensor network comprising multiple, say K, base stations and a large number of wireless sensors. Such an infrastructure is expected to be ...
Shili Xiang, Hock-Beng Lim, Kian-Lee Tan, Yongluan...
SIGMOD
2011
ACM
206views Database» more  SIGMOD 2011»
14 years 9 months ago
Sampling based algorithms for quantile computation in sensor networks
We study the problem of computing approximate quantiles in large-scale sensor networks communication-efficiently, a problem previously studied by Greenwald and Khana [12] and Shri...
Zengfeng Huang, Lu Wang, Ke Yi, Yunhao Liu
ICCCN
2007
IEEE
16 years 15 days ago
Large-Scale QoS-Aware Service-Oriented Networking with a Clustering-Based Approach
—Motivated by the fact that most of the existing QoS service composition solutions have limited scalability, we develop a hierarchical-based solution framework to achieve scalabi...
Jingwen Jin, Jin Liang, Jingyi Jin, Klara Nahrsted...
GEOINFORMATICA
2011
15 years 1 months ago
Qualitative change detection using sensor networks based on connectivity information
The research reported in this paper uses wireless sensor networks to provide salient information about spatially distributed dynamic fields, such as regional variations in tempera...
Jixiang Jiang, Michael F. Worboys, Silvia Nittel