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BMCBI
2010
110views more  BMCBI 2010»
13 years 4 months ago
A random effect multiplicative heteroscedastic model for bacterial growth
Background: Predictive microbiology develops mathematical models that can predict the growth rate of a microorganism population under a set of environmental conditions. Many prima...
Ricardo Cao, Mario Francisco-Fernández, Emi...
KBSE
2008
IEEE
13 years 11 months ago
Random Test Run Length and Effectiveness
Abstract—A poorly understood but important factor in random testing is the selection of a maximum length for test runs. Given a limited time for testing, it is seldom clear wheth...
James H. Andrews, Alex Groce, Melissa Weston, Ru-G...
AUSDM
2007
Springer
107views Data Mining» more  AUSDM 2007»
13 years 10 months ago
Preference Networks: Probabilistic Models for Recommendation Systems
Recommender systems are important to help users select relevant and personalised information over massive amounts of data available. We propose an unified framework called Prefer...
Tran The Truyen, Dinh Q. Phung, Svetha Venkatesh