222 search results - page 5 / 45 » Learning Optimal Parameters in Decision-Theoretic Rough Sets |
IJCAI
2007
13 years 9 months ago
2007
The task of learning models for many real-world problems requires incorporating domain knowledge into learning algorithms, to enable accurate learning from a realistic volume of t...
GECCO
2010
Springer
14 years 7 days ago
2010
Springer
Recent advances in genotyping technology have led to the generation of an enormous quantity of genetic data. Traditional methods of statistical analysis have proved insufficient i...
FLAIRS
2008
13 years 9 months ago
2008
In machine learning, decision trees are employed extensively in solving classification problems. In order to design a decision tree classifier two main phases are employed. The fi...
GECCO
2006
Springer
13 years 11 months ago
2006
Springer
This paper analyzes the behavior of the XCS classifier system on imbalanced datasets. We show that XCS with standard parameter settings is quite robust to considerable class imbal...
LWA
2007
13 years 9 months ago
2007
This paper describes the application of machine learning methods to determine parameters for DeLite, a readability checking tool. DeLite pinpoints text segments that are difficul...