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» Benchmark Generation Using Domain Specific Modeling
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NIPS
1997
14 years 11 months ago
Learning Generative Models with the Up-Propagation Algorithm
Up-propagation is an algorithm for inverting and learning neural network generative models. Sensory input is processed by inverting a model that generates patterns from hidden var...
Jong-Hoon Oh, H. Sebastian Seung
FDL
2005
IEEE
15 years 3 months ago
Meta Modelling of Embedded Systems using Active Databases
The development process of embedded systems is characterized by the cooperation of various domains: components of hardware and software have to be considered as well as components...
Dieter Monjau, Mathias Sporer
WCE
2007
14 years 11 months ago
Prioritizing Quality Specifications of Multi-agent Systems
— Agents are being recommended as a next generation model for revising and restructuring the complex distributed applications. So the task of engineering quality for agent system...
Punam Bedi, Vibha Gaur
IJCAI
1989
14 years 11 months ago
Generating Facts From Opinions with Information Source Models
This paper describes an attempt to model the method of generating a fact from the opinions of other persons or of institutions as a process which is based on knowledge about these...
Martin Thost
AGTIVE
2007
Springer
15 years 1 months ago
Transforming Timeline Specifications into Automata for Runtime Monitoring
Abstract. In runtime monitoring, a programmer specifies code to execute whenever a sequence of events occurs during program execution. Previous and related work has shown that runt...
Eric Bodden, Hans Vangheluwe