879 search results - page 70 / 176 » Greedy Attribute Selection |
132
Voted
JMLR
2006
15 years 4 months ago
2006
An ensemble is a group of learning models that jointly solve a problem. However, the ensembles generated by existing techniques are sometimes unnecessarily large, which can lead t...
177
Voted
CVPR
2011
IEEE
15 years 1 months ago
2011
IEEE
Active learning techniques have gained popularity in reducing human effort to annotate data instances for inducing a classifier. When faced with large quantities of unlabeled dat...
163
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PODS
2007
ACM
16 years 4 months ago
2007
ACM
We consider the problem of constructing decision trees for entity identification from a given relational table. The input is a table containing information about a set of entities...
157
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ACL
1989
15 years 5 months ago
1989
Comparative expressions (CEs) such as "bigger than" and "more oranges than" are highly ambiguous, and their meaning is context dependent. Thus, they pose probl...
168
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ML
2000
ACM
15 years 3 months ago
2000
ACM
The naive Bayesian classifier provides a simple and effective approach to classifier learning, but its attribute independence assumption is often violated in the real world. A numb...