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BMCBI
2007
215views more  BMCBI 2007»
14 years 10 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
SDM
2009
SIAM
343views Data Mining» more  SDM 2009»
15 years 7 months ago
Change-Point Detection in Time-Series Data by Direct Density-Ratio Estimation.
Change-point detection is the problem of discovering time points at which properties of time-series data change. This covers a broad range of real-world problems and has been acti...
Masashi Sugiyama, Yoshinobu Kawahara
UIALL
2004
Springer
15 years 3 months ago
A Framework for Context-Sensitive Coordination of Human Interruptions in Human-Computer Interaction
Abstract. Recent trends in software development directed toward intelligence, distribution, and mobility need to be followed by an increased sophistication in user interface design...
Sonja Gievska, John L. Sibert
ICPP
2009
IEEE
14 years 7 months ago
A Parallel Algorithm for Computing Betweenness Centrality
In this paper we present a multi-grained parallel algorithm for computing betweenness centrality, which is extensively used in large-scale network analysis. Our method is based on ...
Guangming Tan, Dengbiao Tu, Ninghui Sun
DAC
2002
ACM
15 years 11 months ago
A solenoidal basis method for efficient inductance extraction
The ability to compute the parasitic inductance of the interconnect is critical to the timing verification of modern VLSI circuits. A challenging aspect of inductance extraction i...
Hemant Mahawar, Vivek Sarin, Weiping Shi