966 search results - page 119 / 194 » A Two-Level Learning Method for Generalized Multi-instance P... |
144
Voted
DMIN
2007
15 years 4 months ago
2007
— One way to handle data mining problems where class prior probabilities and/or misclassification costs between classes are highly unequal is to resample the data until a new, d...
178
Voted
KDD
2012
ACM
13 years 5 months ago
2012
ACM
Multi-instance multi-label learning (MIML) is a framework for supervised classification where the objects to be classified are bags of instances associated with multiple labels....
139
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KDD
2012
ACM
13 years 5 months ago
2012
ACM
Building an accurate emerging pattern classifier with a highdimensional dataset is a challenging issue. The problem becomes even more difficult if the whole feature space is unava...
116
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CORR
2010
Springer
15 years 2 months ago
2010
Springer
We consider a class of learning problems that involve a structured sparsityinducing norm defined as the sum of -norms over groups of variables. Whereas a lot of effort has been pu...
125
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SIGIR
2009
ACM
15 years 9 months ago
2009
ACM
Incorporating features extracted from clickthrough data (called clickthrough features) has been demonstrated to significantly improve the performance of ranking models for Web sea...