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COLING
2010
13 years 5 months ago
Unsupervised cleansing of noisy text
In this paper we look at the problem of cleansing noisy text using a statistical machine translation model. Noisy text is produced in informal communications such as Short Message...
Danish Contractor, Tanveer A. Faruquie, L. Venkata...

Book
778views
15 years 8 months ago
Gaussian Processes for Machine Learning
"Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning...
Carl Edward Rasmussen and Christopher K. I. Willia...
SIGMETRICS
1996
ACM
174views Hardware» more  SIGMETRICS 1996»
14 years 2 months ago
Embra: Fast and Flexible Machine Simulation
This paper describes Embra, a simulator for the processors, caches, and memory systems of uniprocessors and cache-coherent multiprocessors. When running as part of the SimOS simul...
Emmett Witchel, Mendel Rosenblum
ACL
2006
13 years 11 months ago
Re-Usable Tools for Precision Machine Translation
The LOGON MT demonstrator assembles independently valuable general-purpose NLP components into a machine translation pipeline that capitalizes on output quality. The demonstrator ...
Jan Tore Lønning, Stephan Oepen
IJCNN
2007
IEEE
14 years 4 months ago
Generalised Kernel Machines
Abstract— The generalised linear model (GLM) is the standard approach in classical statistics for regression tasks where it is appropriate to measure the data misfit using a lik...
Gavin C. Cawley, Gareth J. Janacek, Nicola L. C. T...