1313 search results - page 27 / 263 » Intelligent Selection of Language Model Training Data |
160
Voted
SDM
2008
SIAM
15 years 4 months ago
2008
SIAM
Optimally designing the location of training input points (active learning) and choosing the best model (model selection) are two important components of supervised learning and h...
119
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KDD
2005
ACM
15 years 8 months ago
2005
ACM
This paper describes a successful but challenging application of data mining in the railway industry. The objective is to optimize maintenance and operation of trains through prog...
133
Voted
EMNLP
2009
15 years 9 days ago
2009
Bootstrapping is the process of improving the performance of a trained classifier by iteratively adding data that is labeled by the classifier itself to the training set, and retr...
110
Voted
ACL
2012
13 years 4 months ago
2012
This paper presents a novel way of improving POS tagging on heterogeneous data. First, two separate models are trained (generalized and domain-specific) from the same data set by...
109
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ECOOP
2008
Springer
15 years 4 months ago
2008
Springer
Good data layouts improve cache and TLB performance of object-oriented software, but unfortunately, selecting an optimal data layout a priori is NP-hard. This paper introduces layo...