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ICSEA
2006
IEEE
16 years 25 days ago
Testing a Network by Inferring Representative State Machines from Network Traces
— This paper describes an innovative approach to network testing based on automatically generating and analyzing state machine models of network behavior. The models are generate...
Nancy D. Griffeth, Yuri Cantor, Constantinos Djouv...
NIPS
2000
15 years 8 months ago
Rate-coded Restricted Boltzmann Machines for Face Recognition
We describe a neurally-inspired, unsupervised learning algorithm that builds a non-linear generative model for pairs of face images from the same individual. Individuals are then ...
Yee Whye Teh, Geoffrey E. Hinton
CP
1997
Springer
15 years 11 months ago
Random Constraint Satisfaction: A More Accurate Picture
In the last few years there has been a great amount of interest in Random Constraint Satisfaction Problems, both from an experimental and a theoretical point of view. Quite intrigu...
Dimitris Achlioptas, Lefteris M. Kirousis, Evangel...
NAACL
2004
15 years 8 months ago
Robust Reading: Identification and Tracing of Ambiguous Names
A given entity, representing a person, a location or an organization, may be mentioned in text in multiple, ambiguous ways. Understanding natural language requires identifying whe...
Xin Li, Paul Morie, Dan Roth
IFIP
2007
Springer
16 years 28 days ago
Towards UML-Intensive Framework for Model-Driven Development
The paper describes a conceptual framework for model-driven development based on concise application of UML and modeling tool functionality. A case study of modeling software for l...
Darius Silingas, Ruslanas Vitiutinas