MDL-based fitness for feature construction
Abstract
References
Index Terms
- MDL-based fitness for feature construction
Recommendations
Constructive induction and genetic algorithms for learning concepts with complex interaction
GECCO '05: Proceedings of the 7th annual conference on Genetic and evolutionary computationConstructive Induction is the process of transforming the original representation of hard concepts with complex interaction into a representation that highlights regularities. Most Constructive Induction methods apply a greedy strategy to find ...
Fitness Function Comparison for GA-Based Feature Construction
Current Topics in Artificial IntelligenceAbstractWhen primitive data representation yields attribute interactions, learning requires feature construction. MFE2/GA, a GA-based feature construction has been shown to learn more accurately than others when there exist several complex attribute ...
Evolutionary multi-feature construction for data reduction: A case study
Real-world data are often prepared for purposes other than data mining and machine learning and, therefore, are represented by primitive attributes. When data representation is primitive, preprocessing data before looking for patterns becomes necessary. ...
Comments
Information & Contributors
Information
Published In

Sponsors
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Check for updates
Author Tags
Qualifiers
- Article
Conference
Acceptance Rates
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 125Total Downloads
- Downloads (Last 12 months)0
- Downloads (Last 6 weeks)0
Other Metrics
Citations
View Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in