1313 search results - page 56 / 263 » Intelligent Selection of Language Model Training Data |
140
Voted
AAAI
2000
15 years 6 months ago
2000
Selective sampling, a form of active learning, reduces the cost of labeling training data by asking only for the labels of the most informative unlabeled examples. We introduce a ...
127
Voted
ESWA
2008
15 years 4 months ago
2008
In this study, a multistage neural network ensemble learning model is proposed to evaluate credit risk at the measurement level. The proposed model consists of six stages. In the ...
169
Voted
SETN
2010
Springer
15 years 11 months ago
2010
Springer
In the last years dependency parsing has been accomplished by machine learning–based systems showing great accuracy but usually under 90% for Labelled Attachment Score (LAS). Mal...
126
click to vote
AAAI
2008
15 years 7 months ago
2008
Off-policy reinforcement learning is aimed at efficiently reusing data samples gathered in the past, which is an essential problem for physically grounded AI as experiments are us...
134
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AUSAI
2008
Springer
15 years 6 months ago
2008
Springer
Multiple-Instance Learning via Embedded Instance Selection (MILES) is a recently proposed multiple-instance (MI) classification algorithm that applies a single-instance base learne...