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JMLR
2010
155views more  JMLR 2010»
14 years 11 months ago
Bayesian Gaussian Process Latent Variable Model
We introduce a variational inference framework for training the Gaussian process latent variable model and thus performing Bayesian nonlinear dimensionality reduction. This method...
Michalis Titsias, Neil D. Lawrence
139
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ECSQARU
2005
Springer
15 years 10 months ago
Multiple Semi-revision in Possibilistic Logic
Semi-revision is a model of belief change that differs from revision in that a new formula is not always accepted. Later, Fuhrmann defined multiple semi-revision by replacing a n...
Guilin Qi, Weiru Liu, David A. Bell
134
Voted
JSW
2007
106views more  JSW 2007»
15 years 4 months ago
Destabilization of Terrorist Networks through Argument Driven Hypothesis Model
— Social network analysis has been used for quite some time to analyze and understand the behavior of nodes in the network. Theses nodes could be individuals or group of persons,...
Dil Muhammad Akbar Hussain
GPCE
2009
Springer
15 years 8 months ago
Mapping problem-space to solution-space features: a feature interaction approach
Mapping problem-space features into solution-space features is a fundamental configuration problem in software product line engineering. A configuration problem is defined as g...
Frans Sanen, Eddy Truyen, Wouter Joosen
CN
2008
106views more  CN 2008»
15 years 3 months ago
Optimization models and methods for planning wireless mesh networks
In this paper novel optimization models are proposed for planning Wireless Mesh Networks (WMNs), where the objective is to minimize the network installation cost while providing f...
Edoardo Amaldi, Antonio Capone, Matteo Cesana, Ila...