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» Enterprise modeling using class and instance models
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SIAMAM
2008
109views more  SIAMAM 2008»
13 years 7 months ago
Bifurcation Analysis of a General Class of Nonlinear Integrate-and-Fire Neurons
In this paper we define a class of formal neuron models being computationally efficient and biologically plausible, i.e., able to reproduce a wide range of behaviors observed in in...
Jonathan Touboul
ISPE
2003
13 years 9 months ago
Enterprise modelling and the UML: (sometimes) a conflict without a case
: Nowadays, the UML language is one of the most widely accepted software modelling language. Enterprise modelling is concerned with the externalisation of knowledge about the en...
G. Berio, M. Petit
ICIP
2006
IEEE
14 years 9 months ago
A Generalized Discriminative Muitiple Instance Learning for Multimedia Semantic Concept Detection
In the paper we present a generalized discriminative multiple instance learning algorithm (GD-MIL) for multimedia semantic concept detection. It combines the capability of the MIL...
Sheng Gao, Qibin Sun
ECAI
2004
Springer
13 years 11 months ago
Instance-Based Prediction with Guaranteed Confidence
Instance-based learning (IBL) algorithms have proved to be successful in many applications. However, as opposed to standard statistical methods, a prediction in IBL is usually give...
Eyke Hüllermeier
JMLR
2008
100views more  JMLR 2008»
13 years 7 months ago
Hit Miss Networks with Applications to Instance Selection
In supervised learning, a training set consisting of labeled instances is used by a learning algorithm for generating a model (classifier) that is subsequently employed for decidi...
Elena Marchiori