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117
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VLDB
1998
ACM
15 years 6 months ago
1998
ACM
Mining for association rules in market basket data has proved a fruitful areaof research. Measures such as conditional probability (confidence) and correlation have been used to i...
170
Voted
JMLR
2010
14 years 9 months ago
2010
We derive PAC-Bayesian generalization bounds for supervised and unsupervised learning models based on clustering, such as co-clustering, matrix tri-factorization, graphical models...
110
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CORR
1999
Springer
15 years 2 months ago
1999
Springer
In recent work we have presented a formal framework for linguistic annotation based on labeled acyclic digraphs. These `annotation graphs' oer a simple yet powerful method fo...
145
Voted
CVPR
2008
IEEE
16 years 4 months ago
2008
IEEE
Many vision problems can be cast as optimizing the conditional probability density function p(C|I) where I is an image and C is a vector of model parameters describing the image. ...
129
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MLCW
2005
Springer
15 years 8 months ago
2005
Springer
In many regression tasks, in addition to an accurate estimate of the conditional mean of the target distribution, an indication of the predictive uncertainty is also required. Ther...