2714 search results - page 337 / 543 » Machine Learning for Information Extraction |
104
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ECML
2005
Springer
15 years 9 months ago
2005
Springer
Probability trees (or Probability Estimation Trees, PET’s) are decision trees with probability distributions in the leaves. Several alternative approaches for learning probabilit...
138
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ESWS
2008
Springer
15 years 5 months ago
2008
Springer
Exploiting the complex structure of relational data enables to build better models by taking into account the additional information provided by the links between objects. We exten...
130
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SODA
2001
ACM
15 years 5 months ago
2001
ACM
Markov networks are a common class of graphical models used in machine learning. Such models use an undirected graph to capture dependency information among random variables in a ...
141
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BICOB
2010
Springer
15 years 2 months ago
2010
Springer
Fold recognition is a key problem in computational biology that involves classifying protein sharing structural similarities into classes commonly known as "folds". Rece...
147
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ECCV
2008
Springer
16 years 6 months ago
2008
Springer
Abstract. Building visual recognition models that adapt across different domains is a challenging task for computer vision. While feature-learning machines in the form of hierarchi...