1313 search results - page 189 / 263 » Intelligent Selection of Language Model Training Data |
125
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KDD
2003
ACM
16 years 4 months ago
2003
ACM
Data Mining with Bayesian Network learning has two important characteristics: under broad conditions learned edges between variables correspond to causal influences, and second, f...
142
Voted
NIPS
2008
15 years 5 months ago
2008
Offline handwriting recognition--the transcription of images of handwritten text--is an interesting task, in that it combines computer vision with sequence learning. In most syste...
140
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ATAL
2008
Springer
15 years 5 months ago
2008
Springer
Due to computational intractability, large scale coordination algorithms are necessarily heuristic and hence require tuning for particular environments. In domains where character...
143
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CSL
2008
Springer
15 years 3 months ago
2008
Springer
Active learning (AL) is a framework that attempts to reduce the cost of annotating training material for statistical learning methods. While a lot of papers have been presented on...
137
Voted
KDD
2004
ACM
16 years 4 months ago
2004
ACM
In order to effectively use machine learning algorithms, e.g., neural networks, for the analysis of survival data, the correct treatment of censored data is crucial. The concordan...