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» Locality in structured peer-to-peer networks
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TASE
2010
IEEE
14 years 4 months ago
Robust Calibration for Localization in Clustered Wireless Sensor Networks
This paper presents a robust calibration procedure for clustered wireless sensor networks. Accurate calibration of between-node distances is one crucial step in localizing sensor n...
Jung Jin Cho, Yu Ding, Yong Chen, Jiong Tang
AAAI
2006
14 years 11 months ago
Identification and Evaluation of Weak Community Structures in Networks
Identifying intrinsic structures in large networks is a fundamental problem in many fields, such as engineering, social science and biology. In this paper, we are concerned with c...
Jianhua Ruan, Weixiong Zhang
ICML
2007
IEEE
15 years 10 months ago
Bottom-up learning of Markov logic network structure
Markov logic networks (MLNs) are a statistical relational model that consists of weighted firstorder clauses and generalizes first-order logic and Markov networks. The current sta...
Lilyana Mihalkova, Raymond J. Mooney
ML
2006
ACM
142views Machine Learning» more  ML 2006»
14 years 9 months ago
The max-min hill-climbing Bayesian network structure learning algorithm
We present a new algorithm for Bayesian network structure learning, called Max-Min Hill-Climbing (MMHC). The algorithm combines ideas from local learning, constraint-based, and sea...
Ioannis Tsamardinos, Laura E. Brown, Constantin F....
SENSYS
2010
ACM
14 years 7 months ago
Revealing the hidden lives of underground animals using magneto-inductive tracking
Currently, there is no existing method for automatically tracking the location of burrowing animals when they are underground, consequently zoologists only have a partial view of ...
Andrew Markham, Niki Trigoni, Stephen A. Ellwood, ...