1313 search results - page 41 / 263 » Intelligent Selection of Language Model Training Data |
123
Voted
LREC
2008
15 years 4 months ago
2008
In this paper we describe an approach that both creates crosslingual acoustic monophone model sets for speech recognition tasks and objectively predicts their performance without ...
112
Voted
BMCBI
2006
15 years 2 months ago
2006
Background: Cross-validation (CV) is an effective method for estimating the prediction error of a classifier. Some recent articles have proposed methods for optimizing classifiers...
119
Voted
FGR
2008
IEEE
15 years 9 months ago
2008
IEEE
Abstract This paper proposes a real-time high-precision method to track an unknown face in front of an information system by selecting appropriate model to a video image. Active Ap...
HAIS
2010
Springer
15 years 7 months ago
2010
Springer
The intuition behind ensembles is that different prediciton models compensate each other’s errors if one combines them in an appropriate way. In case of large ensembles a lot of...
131
Voted
NIPS
1994
15 years 4 months ago
1994
For many types of machine learning algorithms, one can compute the statistically optimal" way to select training data. In this paper, we review how optimal data selection tec...