3818 search results - page 133 / 764 » Learning from Order Examples |
71
Voted
ALT
2002
Springer
15 years 9 months ago
2002
Springer
In this paper, we close the gap between the simple and straight-forward implementations of top-down hill-climbing that can be found in the literature, and the rather complex strate...
93
Voted
NAACL
2007
15 years 2 months ago
2007
We propose a new framework for supervised machine learning. Our goal is to learn from smaller amounts of supervised training data, by collecting a richer kind of training data: an...
86
Voted
COLT
1991
Springer
15 years 4 months ago
1991
Springer
Two extensions of the Linial, Mansour, Nisan AC0 learning algorithm are presented. The LMN method works when input examples are drawn uniformly. The new algorithmsimprove on their...
65
Voted
ICDM
2006
IEEE
15 years 6 months ago
2006
IEEE
Under-sampling is a class-imbalance learning method which uses only a subset of major class examples and thus is very efficient. The main deficiency is that many major class exa...
132
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ILP
2007
Springer
15 years 6 months ago
2007
Springer
Statistical Relational Learning (SRL) combines the benefits of probabilistic machine learning approaches with complex, structured domains from Inductive Logic Programming (ILP). W...