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» Benchmark Generation Using Domain Specific Modeling
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117
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NIPS
1997
15 years 3 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 7 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
15 years 3 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
15 years 3 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
175
Voted
AGTIVE
2007
Springer
15 years 6 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