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» Reformulating Constraint Models Using Input Data
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AAAI
1992
14 years 10 months ago
Automated Model Selection Using Context-Dependent Behaviors
Effective problem-solving about complex engineered devices requires device models that are both adequate for the problem and computationally efficient . Producing such models requ...
P. Pandurang Nayak, Leo Joskowicz, Sanjaya Addanki
CVPR
2008
IEEE
15 years 11 months ago
Learning Bayesian Networks with qualitative constraints
Graphical models such as Bayesian Networks (BNs) are being increasingly applied to various computer vision problems. One bottleneck in using BN is that learning the BN model param...
Yan Tong, Qiang Ji
CAISE
2010
Springer
14 years 4 months ago
Configuring the Variability of Business Process Models Using Non-Functional Requirements
The existence of variations in the organizational environment makes the configuration of business process models a complex activity, even for experienced business analysts. The inc...
Emanuel Santos, João Pimentel, Jaelson Cast...
DKE
2006
138views more  DKE 2006»
14 years 9 months ago
Using the uni-level description (ULD) to support data-model interoperability
We describe a framework called the Uni-Level Description (ULD) for accurately representing information from a broad range of data models. The ULD extends previous metadata-model a...
Shawn Bowers, Lois M. L. Delcambre
81
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IJCNN
2007
IEEE
15 years 4 months ago
Odor Recognition with Synchronization using Integrate and Fire Neurons
— We constructed a new model of an olfactory system with expanded integrate and fire neurons to explore its behaviors with external inputs. The model is built in according to th...
Xiaobin Lin, Philippe De Wilde