301 search results - page 15 / 61 » Learning to Select a Good Translation |
ECML
2005
Springer
14 years 3 months ago
2005
Springer
Active selection of good training examples is an important approach to reducing data-collection costs in machine learning; however, most existing methods focus on maximizing classi...
IAJIT
2007
13 years 9 months ago
2007
: Word prediction is an important NLP problem in which we want to predict the correct word in a given context. Word completion utilities, predictive text entry systems, writing aid...
INTERSPEECH
2010
13 years 4 months ago
2010
Stochastic dependency parsers can achieve very good results when they are trained on large corpora that have been manually annotated. Active learning is a procedure that aims at r...
ECCV
2004
Springer
14 years 11 months ago
2004
Springer
Local feature approaches to vision geometry and object recognition are based on selecting and matching sparse sets of visually salient image points, known as `keypoints' or `p...
MLDM
2007
Springer
14 years 3 months ago
2007
Springer
Support vector machine (SVM) has received much attention in feature selection recently because of its ability to incorporate kernels to discover nonlinear dependencies between feat...