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NIPS
2000
13 years 10 months ago
Incremental and Decremental Support Vector Machine Learning
An on-line recursive algorithm for training support vector machines, one vector at a time, is presented. Adiabatic increments retain the KuhnTucker conditions on all previously se...
Gert Cauwenberghs, Tomaso Poggio
COLING
1996
13 years 10 months ago
Lexical Accommodation In Machine-Mediated Interactions
We report results of lexical accommodation studies involving three different interpretation settings: human-human monolingual; human-interpreted bilingual; and machine-interpreted...
Laurel Fais
WCE
2007
13 years 10 months ago
Manufacturing industries need Design of Experiments (DoE)
— Although experimentation is a frequent activity of engineers, they usually use primitive strategies to carry on their experiments. A survey identifies the needs of using an eff...
Martín Tanco, Elisabeth Viles, Laura Ilzarb...
CORR
2008
Springer
113views Education» more  CORR 2008»
13 years 9 months ago
Distributed Kalman Filter via Gaussian Belief Propagation
Abstract--Recent result shows how to compute distributively and efficiently the linear MMSE for the multiuser detection problem, using the Gaussian BP algorithm. In the current wor...
Danny Bickson, Ori Shental, Danny Dolev
ENTCS
2008
129views more  ENTCS 2008»
13 years 9 months ago
The York Abstract Machine
Abstract Machine Greg Manning1 Detlef Plump2 Department of Computer Science The University of York, UK duce the York Abstract Machine (YAM) for implementing the graph programming ...
Greg Manning, Detlef Plump