1364 search results - page 155 / 273 » Sampling Methods for Unsupervised Learning |
151
Voted
ATAL
2005
Springer
15 years 8 months ago
2005
Springer
Reinforcement learning problems are commonly tackled with temporal difference methods, which use dynamic programming and statistical sampling to estimate the long-term value of ta...
107
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PAKDD
2004
ACM
15 years 8 months ago
2004
ACM
Computational diagnosis of cancer is a classification problem, and it has two special requirements on a learning algorithm: perfect accuracy and small number of features used in t...
148
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ICDM
2003
IEEE
15 years 7 months ago
2003
IEEE
Semi-supervised learning methods construct classifiers using both labeled and unlabeled training data samples. While unlabeled data samples can help to improve the accuracy of trai...
113
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SDM
2008
SIAM
15 years 4 months ago
2008
SIAM
Covariate shift is a situation in supervised learning where training and test inputs follow different distributions even though the functional relation remains unchanged. A common...
138
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AAAI
2006
15 years 4 months ago
2006
Reasoning with both probabilistic and deterministic dependencies is important for many real-world problems, and in particular for the emerging field of statistical relational lear...