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NAACL
2010
15 years 4 months ago
Distributed Training Strategies for the Structured Perceptron
Perceptron training is widely applied in the natural language processing community for learning complex structured models. Like all structured prediction learning frameworks, the ...
Ryan T. McDonald, Keith Hall, Gideon Mann
ICCV
2007
IEEE
16 years 8 months ago
Active Learning with Gaussian Processes for Object Categorization
Discriminative methods for visual object category recognition are typically non-probabilistic, predicting class labels but not directly providing an estimate of uncertainty. Gauss...
Ashish Kapoor, Kristen Grauman, Raquel Urtasun, Tr...
FOSSACS
2004
Springer
15 years 12 months ago
safeDpi: A Language for Controlling Mobile Code
safeDpi is a distributed version of the Picalculus, in which processes are located at dynamically created sites. Parametrised code may be sent between sites using so-called ports, ...
Matthew Hennessy, Julian Rathke, Nobuko Yoshida
IEEEPACT
2006
IEEE
16 years 16 days ago
Compiling for stream processing
This paper describes a compiler for stream programs that efficiently schedules computational kernels and stream memory operations, and allocates on-chip storage. Our compiler uses...
Abhishek Das, William J. Dally, Peter R. Mattson
COGSR
2010
166views more  COGSR 2010»
15 years 1 months ago
A computational model based on Gross' emotion regulation theory
Emotion regulation describes how a subject can use certain strategies to affect emotion response levels. Usually, models for emotion regulation assume mechanisms based on feedback...
Tibor Bosse, Matthijs Pontier, Jan Treur