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» A Model for Large Scale Self-Stabilization
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128
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ICML
2004
IEEE
16 years 4 months ago
Training conditional random fields via gradient tree boosting
Conditional Random Fields (CRFs; Lafferty, McCallum, & Pereira, 2001) provide a flexible and powerful model for learning to assign labels to elements of sequences in such appl...
Thomas G. Dietterich, Adam Ashenfelter, Yaroslav B...
118
Voted
FMCO
2008
Springer
143views Formal Methods» more  FMCO 2008»
15 years 5 months ago
An Asynchronous Distributed Component Model and Its Semantics
This paper is placed in the context of large scale distributed programming, providing a programming model based on asynchronous components. It focuses on the semantics of asynchron...
Ludovic Henrio, Florian Kammüller, Marcela Ri...
156
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TMI
2010
175views more  TMI 2010»
14 years 10 months ago
Spatially Adaptive Mixture Modeling for Analysis of fMRI Time Series
Within-subject analysis in fMRI essentially addresses two problems, the detection of brain regions eliciting evoked activity and the estimation of the underlying dynamics. In [1, 2...
Thomas Vincent, Laurent Risser, Philippe Ciuciu
158
Voted
DLOG
2009
15 years 1 months ago
Model-Based Most Specific Concepts in Some Inexpressive Description Logics
Abstract. Model-based most specific concepts are a non-standard reasoning service in Description Logics. They have turned out to be useful in knowledge base completion for ontologi...
Felix Distel
253
Voted
VCBM
2010
14 years 10 months ago
A General Approach to Model Biomedical Data from 3D Unorganised Point Clouds with Medial Scaffolds
We present the latest developments in modeling 3D biomedical data via the Medial Scaffold (MS), a 3D acyclic oriented graph representation of the Medial Axis (MA) [LK07, SP08]. Th...
Frederic F. Leymarie, Ming-Ching Chang, Celina Imi...