1989 search results - page 116 / 398 » Learning to Select Useful Landmarks |
165
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GECCO
2006
Springer
15 years 10 months ago
2006
Springer
Many data mining applications involve the task of building a model for predictive classification. The goal of such a model is to classify examples (records or data instances) into...
199
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ECAI
2010
Springer
15 years 3 months ago
2010
Springer
The proposed feature selection method aims to find a minimum subset of the most informative variables for classification/regression by efficiently approximating the Markov Blanket ...
159
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AAAI
2007
15 years 8 months ago
2007
Artificial intelligence has begun to play a critical role in basic science research. In high energy physics, AI methods can aid precision measurements that elucidate the underlyi...
219
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AAAI
2011
14 years 6 months ago
2011
Semi-supervised support vector machines (S3VMs) are a kind of popular approaches which try to improve learning performance by exploiting unlabeled data. Though S3VMs have been fou...
151
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ICIP
2002
IEEE
15 years 11 months ago
2002
IEEE
Context-based adaptive entropy coding is an essential feature of modern image compression algorithms; however, the design of these coders is non-trivial due to the balance that mu...