275 search results - page 4 / 55 » The Foundations of Cost-Sensitive Learning |
127
Voted
PKDD
2009
Springer
15 years 10 months ago
2009
Springer
178
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ICDAR
2009
IEEE
15 years 3 months ago
2009
IEEE
This paper proposes a novel framework for automatic text categorization problem based on the kernel density classifier. The overall goal is to tackle two main issues in automatic ...
133
Voted
ECML
2003
Springer
15 years 10 months ago
2003
Springer
Many machine learning tasks contain feature evaluation as one of its important components. This work is concerned with attribute estimation in the problems where class distribution...
162
Voted
ICDCS
2002
IEEE
15 years 10 months ago
2002
IEEE
Data mining systems aim to discover patterns and extract useful information from facts recorded in databases. A widely adopted approach is to apply machine learning algorithms to ...
166
Voted
PKDD
2005
Springer
15 years 11 months ago
2005
Springer
Cost-sensitive decision tree and cost-sensitive naïve Bayes are both new cost-sensitive learning models proposed recently to minimize the total cost of test and misclassifications...