1313 search results - page 69 / 263 » Intelligent Selection of Language Model Training Data |
132
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ICML
2004
IEEE
16 years 5 months ago
2004
IEEE
Classifier learning methods commonly assume that the training data consist of randomly drawn examples from the same distribution as the test examples about which the learned model...
155
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AI
2011
Springer
14 years 8 months ago
2011
Springer
In this paper, we learn the components of dialogue POMDP models from data. In particular, we learn the states, observations, as well as transition and observation functions based o...
133
Voted
SDM
2010
SIAM
15 years 6 months ago
2010
SIAM
Lack of labeled training examples is a common problem for many applications. In the same time, there is usually an abundance of labeled data from related tasks. But they have diff...
132
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KDD
2003
ACM
16 years 5 months ago
2003
ACM
High-dimensional data poses a severe challenge for data mining. Feature selection is a frequently used technique in preprocessing high-dimensional data for successful data mining....
139
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AIPS
2010
15 years 6 months ago
2010
Computing a good policy in stochastic uncertain environments with unknown dynamics and reward model parameters is a challenging task. In a number of domains, ranging from space ro...