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FLAIRS
2003
15 years 7 months ago
Optimizing F-Measure with Support Vector Machines
Support vector machines (SVMs) are regularly used for classification of unbalanced data by weighting more heavily the error contribution from the rare class. This heuristic techn...
David R. Musicant, Vipin Kumar, Aysel Ozgur
ITICSE
2005
ACM
15 years 11 months ago
From objects-first to design-first with multimedia and intelligent tutoring
“Objects-first” is an increasingly popular strategy for teaching object-oriented programming by introducing the concepts of objects, classes, and instances before procedural e...
Sally H. Moritz, Fang Wei, Shahida M. Parvez, Glen...
LREC
2008
150views Education» more  LREC 2008»
15 years 7 months ago
Automatic Translation of Biomedical Terms by Supervised Machine Learning
In this paper, we present a simple yet efficient automatic system to translate biomedical terms. It mainly relies on a machine learning approach able to infer rewriting rules from...
Vincent Claveau
ACL
2012
13 years 8 months ago
Prediction of Learning Curves in Machine Translation
Parallel data in the domain of interest is the key resource when training a statistical machine translation (SMT) system for a specific purpose. Since ad-hoc manual translation c...
Prasanth Kolachina, Nicola Cancedda, Marc Dymetman...
PVM
2009
Springer
16 years 24 days ago
Optimizing MPI Runtime Parameter Settings by Using Machine Learning
Abstract. Manually tuning MPI runtime parameters is a practice commonly employed to optimise MPI application performance on a specific architecture. However, the best setting for ...
Simone Pellegrini, Jie Wang, Thomas Fahringer, Han...