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» Transforming Time Series into Complex Networks
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BMCBI
2007
215views more  BMCBI 2007»
13 years 6 months ago
Learning causal networks from systems biology time course data: an effective model selection procedure for the vector autoregres
Background: Causal networks based on the vector autoregressive (VAR) process are a promising statistical tool for modeling regulatory interactions in a cell. However, learning the...
Rainer Opgen-Rhein, Korbinian Strimmer
IPPS
1999
IEEE
13 years 11 months ago
Reducing I/O Complexity by Simulating Coarse Grained Parallel Algorithms
Block-wise access to data is a central theme in the design of efficient external memory (EM) algorithms. A second important issue, when more than one disk is present, is fully par...
Frank K. H. A. Dehne, David A. Hutchinson, Anil Ma...
MOBIHOC
2008
ACM
14 years 6 months ago
Fast and quality-guaranteed data streaming in resource-constrained sensor networks
In many emerging applications, data streams are monitored in a network environment. Due to limited communication bandwidth and other resource constraints, a critical and practical...
Emad Soroush, Kui Wu, Jian Pei
BMCBI
2007
179views more  BMCBI 2007»
13 years 6 months ago
Automated smoother for the numerical decoupling of dynamics models
Background: Structure identification of dynamic models for complex biological systems is the cornerstone of their reverse engineering. Biochemical Systems Theory (BST) offers a pa...
Marco Vilela, Carlos Cristiano H. Borges, Susana V...
ICDCS
2007
IEEE
14 years 1 months ago
Non-Threshold based Event Detection for 3D Environment Monitoring in Sensor Networks
Event detection is a crucial task for wireless sensor network applications, especially environment monitoring. Existing approaches for event detection are mainly based on some pre...
Mo Li, Yunhao Liu, Lei Chen 0002