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» A Use Case Based Approach to Feature Models' Construction
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JMLR
2002
111views more  JMLR 2002»
15 years 6 months ago
The Learning-Curve Sampling Method Applied to Model-Based Clustering
We examine the learning-curve sampling method, an approach for applying machinelearning algorithms to large data sets. The approach is based on the observation that the computatio...
Christopher Meek, Bo Thiesson, David Heckerman
AAAI
2011
14 years 6 months ago
Heterogeneous Transfer Learning with RBMs
A common approach in machine learning is to use a large amount of labeled data to train a model. Usually this model can then only be used to classify data in the same feature spac...
Bin Wei, Christopher Pal
193
Voted
JOT
2007
193views more  JOT 2007»
15 years 6 months ago
Applying Triple Graph Grammars For Pattern-Based Workflow Model Transformations
Workflow and business process modeling approaches have become essential for designing service collaborations when developing SOA-based systems. To derive actual executable busines...
Carsten Lohmann, Joel Greenyer, Juanjuan Jiang, Ta...
VL
2008
IEEE
115views Visual Languages» more  VL 2008»
16 years 1 months ago
Flexible visualization of automatic simulation based on structured graph transformation
Visual modeling languages for discrete behavior modeling allow the modeler to describe how systems develop over time during system runs. Models of these languages are the basis fo...
Enrico Biermann, Claudia Ermel, Jonas Hurrelmann, ...
ETFA
2006
IEEE
16 years 22 days ago
Optimizing Quality of Control in Networked Automation Systems using Probabilistic Models
New technological trends lead to the increasing use of network technologies in automation. Especially the Ethernet with TCP/IP and wireless networks find growing acceptance. The r...
Jürgen Greifeneder, Georg Frey