243 search results - page 17 / 49 » Informed Selection of Training Examples for Knowledge Refine... |
119
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JMLR
2002
14 years 11 months ago
2002
A central problem in learning is selection of an appropriate model. This is typically done by estimating the unknown generalization errors of a set of models to be selected from a...
112
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EWCBR
2006
Springer
15 years 3 months ago
2006
Springer
Feature selection algorithms can reduce the high dimensionality of textual cases and increase case-based task performance. However, conventional algorithms (e.g., information gain)...
IJCAI
2001
15 years 1 months ago
2001
(LP)2 is a covering algorithm for adaptive Information Extraction from text (IE). It induces symbolic rules that insert SGML tags into texts by learning from examples found in a u...
102
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IIR
2010
15 years 1 months ago
2010
Given a classifier trained on relatively few training examples, active learning (AL) consists in ranking a set of unlabeled examples in terms of how informative they would be, if ...
101
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ILP
2004
Springer
15 years 5 months ago
2004
Springer
Many domains in the field of Inductive Logic Programming (ILP) involve highly unbalanced data. Our research has focused on Information Extraction (IE), a task that typically invol...