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AI
2006
Springer
15 years 7 months ago
Controlled generation of hard and easy Bayesian networks: Impact on maximal clique size in tree clustering
This article presents and analyzes algorithms that systematically generate random Bayesian networks of varying difficulty levels, with respect to inference using tree clustering. ...
Ole J. Mengshoel, David C. Wilkins, Dan Roth
ESWA
2006
243views more  ESWA 2006»
15 years 6 months ago
Knowledge based crime scenario modelling
A crucial concern in the evaluation of evidence related to a major crime is the formulation of sufficient alternative plausible scenarios that can explain the available evidence. ...
Jeroen Keppens, Burkhard Schafer
IJHIS
2008
84views more  IJHIS 2008»
15 years 6 months ago
Selective generation of training examples in active meta-learning
Meta-Learning has been successfully applied to acquire knowledge used to support the selection of learning algorithms. Each training example in Meta-Learning (i.e. each meta-exampl...
Ricardo Bastos Cavalcante Prudêncio, Teresa ...
210
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GRID
2006
Springer
15 years 6 months ago
Campus Grids Meet Applications: Modeling, Metascheduling and Integration
Air Quality Forecasting (AQF) is a new discipline that attempts to reliably predict atmospheric pollution. An AQF application has complex workflows and in order to produce timely ...
Yonghong Yan, Barbara M. Chapman
CN
2007
120views more  CN 2007»
15 years 6 months ago
A case for Passive Application Layer Multicast
Over the last few years, application-layer multicast (ALM) has emerged as a plausible solution for supporting group-oriented applications. However, ALM suffers from inefficiency ...
Xiaolong Li, Aaron Striegel