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ICPR
2010
IEEE
15 years 7 months ago
Adaptive Incremental Learning with an Ensemble of Support Vector Machines
The incremental updating of classifiers implies that their internal parameter values can vary according to incoming data. As a result, in order to achieve high performance, incre...
Marcelo N. Kapp, Robert Sabourin, Patrick Maupin
JDA
2008
93views more  JDA 2008»
15 years 7 months ago
On-line scheduling of parallel jobs on two machines
We study the problem of on-line scheduling of parallel jobs on two machines. The jobs are parallel in the sense that each of them specifies the number of processors, in this case ...
Wun-Tat Chan, Francis Y. L. Chin, Deshi Ye, Guochu...
PAMI
2006
128views more  PAMI 2006»
15 years 7 months ago
Multisurface Proximal Support Vector Machine Classification via Generalized Eigenvalues
A new approach to support vector machine (SVM) classification is proposed wherein each of two data sets are proximal to one of two distinct planes that are not parallel to each oth...
Olvi L. Mangasarian, Edward W. Wild
NAACL
2010
15 years 5 months ago
Stream-based Translation Models for Statistical Machine Translation
Typical statistical machine translation systems are trained with static parallel corpora. Here we account for scenarios with a continuous incoming stream of parallel training data...
Abby Levenberg, Chris Callison-Burch, Miles Osborn...
COLING
2010
15 years 2 months ago
An Efficient Shift-Reduce Decoding Algorithm for Phrased-Based Machine Translation
In statistical machine translation, decoding without any reordering constraint is an NP-hard problem. Inversion Transduction Grammars (ITGs) exploit linguistic structure and can w...
Yang Feng, Haitao Mi, Yang Liu, Qun Liu