5 search results - page 1 / 1 » Fast rule representation for continuous attributes in geneti... |
GECCO
2008
Springer
13 years 5 months ago
2008
Springer
Genetic-Based Machine Learning Systems (GBML) are comparable in accuracy with other learning methods. However, efficiency is a significant drawback. This paper presents a new rep...
GECCO
2000
Springer
13 years 8 months ago
2000
Springer
This paper shows how linguistic classification knowledge can be extracted from numerical data for pattern classification problems with many continuous attributes by genetic algori...
AIIA
2005
Springer
13 years 10 months ago
2005
Springer
Machine Learning systems are often distinguished according to the kind of representation they use, which can be either propositional or first-order logic. The framework working wi...
KDD
2004
ACM
14 years 5 months ago
2004
ACM
In this paper we provide a fast, data-driven solution to the failing query problem: given a query that returns an empty answer, how can one relax the query's constraints so t...
FLAIRS
2010
13 years 7 months ago
2010
Nowadays, graph-based knowledge discovery algorithms do not consider numeric attributes (they are discarded in the preprocessing step, or they are treated as alphanumeric values w...