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» A Model for Large Scale Self-Stabilization
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EDBT
2010
ACM
145views Database» more  EDBT 2010»
15 years 7 months ago
Splash: ad-hoc querying of data and statistical models
Data mining is increasingly performed by people who are not computer scientists or professional programmers. It is often done as an iterative process involving multiple ad-hoc tas...
Lujun Fang, Kristen LeFevre
GISCIENCE
2004
Springer
130views GIS» more  GISCIENCE 2004»
15 years 9 months ago
Comparing Exact and Approximate Spatial Auto-regression Model Solutions for Spatial Data Analysis
The spatial auto-regression (SAR) model is a popular spatial data analysis technique, which has been used in many applications with geo-spatial datasets. However, exact solutions f...
Baris M. Kazar, Shashi Shekhar, David J. Lilja, Ra...
ICC
2007
IEEE
206views Communications» more  ICC 2007»
15 years 10 months ago
Buffer Occupation Probability of Trace-Driven Background Streams in Hybrid Simulation
— In this paper, numerical calculation schemes of the buffer occupation probability for a buffer which is fed by a large number of independent and stationary sources are evaluate...
Ben Lauwens, Bart Scheers, Antoine Van de Capelle
121
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ISBI
2008
IEEE
16 years 4 months ago
Inferring brain dynamics using granger causality on fMRI data
Here we present a scalable method to compute the structure of causal links over large scale dynamical systems that achieves high efficiency in discovering actual functional connec...
Guillermo A. Cecchi, Rahul Garg, A. Ravishankar Ra...
KBSE
2002
IEEE
15 years 8 months ago
What Makes Finite-State Models More (or Less) Testable?
Finite-state machine (FSM) models are commonly used to represent software with concurrent processes. Established model checking tools can be used to automatically test FSM models,...
David Owen, Tim Menzies, Bojan Cukic