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IPSN
2010
Springer
16 years 1 months ago
Bayesian optimization for sensor set selection
We consider the problem of selecting an optimal set of sensors, as determined, for example, by the predictive accuracy of the resulting sensor network. Given an underlying metric ...
Roman Garnett, Michael A. Osborne, Stephen J. Robe...
CSCL
2008
106views more  CSCL 2008»
15 years 7 months ago
Operationalizing macro-scripts in CSCL technological settings
: This paper presents a conceptual analysis of the technological dimensions related to the operationalization of CSCL macro-scripts. CSCL scripts are activity models that aim at en...
Pierre Tchounikine
199
Voted
GECCO
2008
Springer
137views Optimization» more  GECCO 2008»
15 years 8 months ago
Informative sampling for large unbalanced data sets
Selective sampling is a form of active learning which can reduce the cost of training by only drawing informative data points into the training set. This selected training set is ...
Zhenyu Lu, Anand I. Rughani, Bruce I. Tranmer, Jos...
CG
2006
Springer
15 years 6 months ago
Interactive out-of-core isosurface visualisation in time-varying data sets
We present a combination of techniques for interactive out-of-core visualisation of isosurfaces from large timedependent data sets. We make use of an index tree, computed in a pre...
Benjamin Vrolijk, Frits H. Post
177
Voted
TOG
2002
109views more  TOG 2002»
15 years 6 months ago
Level set surface editing operators
We present a level set framework for implementing editing operators for surfaces. Level set models are deformable implicit surfaces where the deformation of the surface is control...
Ken Museth, David E. Breen, Ross T. Whitaker, Alan...