5 search results - page 1 / 1 » Handling Continuous-Valued Attributes in Incremental First-O... |
AIIA
2005
Springer
13 years 11 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...
AICCSA
2006
IEEE
13 years 11 months ago
2006
IEEE
Multi-class problem is the class of problems having more than one classes in the data set. Bayesian Network (BN) is a well-known algorithm handling the multi-class problem and is ...
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...
IDEAL
2005
Springer
13 years 11 months ago
2005
Springer
Abstract. A novel Genetic Programming (GP) paradigm called Coevolutionary Rule-Chaining Genetic Programming (CRGP) has been proposed to learn the relationships among attributes rep...
MLDM
2005
Springer
13 years 11 months ago
2005
Springer
Abstract. In supervised learning, discretization of the continuous explanatory attributes enhances the accuracy of decision tree induction algorithms and naive Bayes classifier. M...