275 search results - page 4 / 55 » The Foundations of Cost-Sensitive Learning |
PKDD
2009
Springer
14 years 1 days ago
2009
Springer
ICDAR
2009
IEEE
13 years 5 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 ...
ECML
2003
Springer
14 years 21 days 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...
ICDCS
2002
IEEE
14 years 13 days 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 ...
PKDD
2005
Springer
14 years 29 days 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...