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GRID
2004
Springer
15 years 3 months ago
DiPerF: An Automated DIstributed PERformance Testing Framework
We present DiPerF, a distributed performance-testing framework, aimed at simplifying and automating service performance evaluation. DiPerF coordinates a pool of machines that test...
Catalin Dumitrescu, Ioan Raicu, Matei Ripeanu, Ian...
BMCBI
2007
215views more  BMCBI 2007»
14 years 9 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
AAAI
1990
14 years 10 months ago
Constructor: A System for the Induction of Probabilistic Models
The probabilistic network technology is a knowledgebased technique which focuses on reasoning under uncertainty. Because of its well defined semantics and solid theoretical founda...
Robert M. Fung, Stuart L. Crawford
158
Voted
SIGMOD
2005
ACM
107views Database» more  SIGMOD 2005»
15 years 9 months ago
Relational Confidence Bounds Are Easy With The Bootstrap
Statistical estimation and approximate query processing have become increasingly prevalent applications for database systems. However, approximation is usually of little use witho...
Abhijit Pol, Chris Jermaine
KDD
2003
ACM
150views Data Mining» more  KDD 2003»
15 years 10 months ago
Learning relational probability trees
Classification trees are widely used in the machine learning and data mining communities for modeling propositional data. Recent work has extended this basic paradigm to probabili...
Jennifer Neville, David Jensen, Lisa Friedland, Mi...