8970 search results - page 114 / 1794 » Learning to Learn Causal Models |
265
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PAKDD
2011
ACM
14 years 9 months ago
2011
ACM
Discovering rare categories and classifying new instances of them is
an important data mining issue in many fields, but fully supervised
learning of a rare class classifier is pr...
124
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ATAL
2006
Springer
15 years 7 months ago
2006
Springer
We consider PAC learning of simple cooperative games, in which the coalitions are partitioned into "winning" and "losing" coalitions. We analyze the complexity...
145
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ICML
2005
IEEE
16 years 4 months ago
2005
IEEE
Mappings to structured output spaces (strings, trees, partitions, etc.) are typically learned using extensions of classification algorithms to simple graphical structures (eg., li...
125
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ICDM
2007
IEEE
15 years 10 months ago
2007
IEEE
We explore the problem of budgeted machine learning, in which the learning algorithm has free access to the training examples’ labels but has to pay for each attribute that is s...
125
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SSPR
2004
Springer
15 years 9 months ago
2004
Springer
We present a tutorial survey on some recent approaches to unsupervised machine learning in the context of statistical pattern recognition. In statistical PR, there are two classica...