GECCO
2009
Springer
15 years 1 months ago
2009
Springer
In this paper, we evaluate the performance of ten well-known evolutionary and non-evolutionary rule learning algorithms. The comparative study is performed on a real-world classiï...
GECCO
2009
Springer
15 years 3 months ago
2009
Springer
In this paper, we evaluate the performance of ten well-known evolutionary and non-evolutionary rule learning algorithms. The comparative study is performed on a real-world classiï...
SDM
2009
SIAM
15 years 6 months ago
2009
SIAM
Most commonly used inductive rule learning algorithms employ a hill-climbing search, whereas local pattern discovery algorithms employ exhaustive search. In this paper, we evaluat...
ICML
2003
IEEE
15 years 9 months ago
2003
IEEE
In this paper we analyze the most popular evaluation metrics for separate-and-conquer rule learning algorithms. Our results show that all commonly used heuristics, including accur...
ICML
2006
IEEE
15 years 9 months ago
2006
IEEE
We present a new, statistical approach to rule learning. Doing so, we address two of the problems inherent in traditional rule learning: The computational hardness of finding rule...