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» Efficient High-Level modeling in the networking domain
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UAI
2001
14 years 11 months ago
Exact Inference in Networks with Discrete Children of Continuous Parents
Many real life domains contain a mixture of discrete and continuous variables and can be modeled as hybrid Bayesian Networks (BNs). An important subclass of hybrid BNs are conditi...
Uri Lerner, Eran Segal, Daphne Koller
KDD
2007
ACM
159views Data Mining» more  KDD 2007»
15 years 10 months ago
Domain-constrained semi-supervised mining of tracking models in sensor networks
Accurate localization of mobile objects is a major research problem in sensor networks and an important data mining application. Specifically, the localization problem is to deter...
Rong Pan, Junhui Zhao, Vincent Wenchen Zheng, Jeff...
GECCO
2005
Springer
149views Optimization» more  GECCO 2005»
15 years 3 months ago
There's more to a model than code: understanding and formalizing in silico modeling experience
Mapping biology into computation has both a domain specific aspect – biological theory – and a methodological aspect – model development. Computational modelers have implici...
Janet Wiles, Nicholas Geard, James Watson, Kai Wil...
KDD
2005
ACM
103views Data Mining» more  KDD 2005»
15 years 10 months ago
Fast discovery of unexpected patterns in data, relative to a Bayesian network
We consider a model in which background knowledge on a given domain of interest is available in terms of a Bayesian network, in addition to a large database. The mining problem is...
Szymon Jaroszewicz, Tobias Scheffer
ENVSOFT
2008
106views more  ENVSOFT 2008»
14 years 9 months ago
Analysis of self-describing gridded geoscience data with netCDF Operators (NCO)
1 The netCDF Operator (NCO) software facilitates manipulation and analysis of gridded2 geoscience data stored in the self-describing netCDF format. NCO is optimized to efficiently3...
Charles S. Zender