4773 search results - page 589 / 955 » Learning from Uncertain Data |
153
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WSDM
2010
ACM
16 years 4 months ago
2010
ACM
We describe a machine learning approach for predicting sponsored search ad relevance. Our baseline model incorporates basic features of text overlap and we then extend the model t...
170
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CIKM
2000
Springer
15 years 11 months ago
2000
Springer
RankBoost is a recently proposed algorithm for learning ranking functions. It is simple to implement and has strong justifications from computational learning theory. We describe...
174
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FLAIRS
2001
15 years 8 months ago
2001
We present an objective approach for evaluating probability elicitation methods in probabilistic models. Our method draws on ideas from research on learning Bayesian networks: if ...
166
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IJMMS
2007
15 years 6 months ago
2007
Predicting when a person might be frustrated can provide an intelligent system with important information about when to initiate interaction. For example, an automated Learning Co...
201
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CVPR
2006
IEEE
16 years 8 months ago
2006
IEEE
We consider the general problem of learning from both labeled and unlabeled data. Given a set of data points, only a few of them are labeled, and the remaining points are unlabele...