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ICML
2001
IEEE
16 years 7 months ago
Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
We present conditional random fields, a framework for building probabilistic models to segment and label sequence data. Conditional random fields offer several advantages over hid...
John D. Lafferty, Andrew McCallum, Fernando C. N. ...
ENVSOFT
2006
144views more  ENVSOFT 2006»
15 years 6 months ago
Ten iterative steps in development and evaluation of environmental models
Models are increasingly being relied upon to inform and support natural resource management. They are incorporating an ever broader range of disciplines and now often confront peo...
Anthony J. Jakeman, Rebecca A. Letcher, John P. No...
OOPSLA
2007
Springer
16 years 23 days ago
SmartEMF: guidance in modeling tools
The advent of domain-specific modeling in enterprise systems development has given rise to new tool requirements. Existing tools do not offer sufficient modeling guidance or inc...
Anders Hessellund
ICPR
2006
IEEE
16 years 7 months ago
Detection of presynaptic terminals on dendritic spines in double labeling confocal images
For the analysis of learning processes and the underlying changes of the shape of excitatory synapses (spines), 3-D volume samples of selected dendritic segments are scanned by a ...
Andreas Herzog, Bernd Michaelis, Gerald Krell, Kat...
ETFA
2005
IEEE
16 years 7 days ago
Reuse of components in formal modeling and verification of distributed control systems
This paper describes formal modeling and verification of automation systems from the system engineering point of view. Reuse of model components is the key issue in order to bring...
Valeriy Vyatkin, Hans-Michael Hanisch
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