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ICASSP
2007
IEEE
16 years 27 days ago
Genomic Network Tomography
This paper considers the problem of learning cellular signaling networks from incomplete measurements of pathway activity. Cells respond to environmental changes (e.g., starvation...
Michael G. Rabbat, Mário A. T. Figueiredo, ...
IJAR
2007
107views more  IJAR 2007»
15 years 6 months ago
Hybrid possibilistic networks
Possibilistic networks are important tools for dealing with uncertain pieces of information. For multiplyconnected networks, it is well known that the inference process is a hard ...
Salem Benferhat, Salma Smaoui
SIGMETRICS
2005
ACM
100views Hardware» more  SIGMETRICS 2005»
16 years 4 days ago
On AS-level path inference
The ability to discover the AS-level path between two end-points is valuable for network diagnosis, performance optimization, and reliability enhancement. Virtually all existing t...
Zhuoqing Morley Mao, Lili Qiu, Jia Wang, Yin Zhang
SDM
2009
SIAM
204views Data Mining» more  SDM 2009»
16 years 3 months ago
Application of Bayesian Partition Models in Warranty Data Analysis.
Automotive companies are forced to continuously extend and improve their product line-up. However, increasing diversity, higher design complexity, and shorter development cycles c...
Axel Blumenstock, Christoph Schlieder, Markus M&uu...
PPSN
2004
Springer
15 years 12 months ago
The Application of Bayesian Optimization and Classifier Systems in Nurse Scheduling
Two ideas taken from Bayesian optimization and classifier systems are presented for personnel scheduling based on choosing a suitable scheduling rule from a set for each person’s...
Jingpeng Li, Uwe Aickelin