Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
C4.5: programs for machine learning
C4.5: programs for machine learning
Decision trees based on automatic learning and their use in cardiology
Journal of Medical Systems
Evolutionary algorithms in theory and practice: evolution strategies, evolutionary programming, genetic algorithms
Genetic programming: an introduction: on the automatic evolution of computer programs and its applications
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Machine Learning
The Effects of Training Set Size on Decision Tree Complexity
ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning
Diagnostic Process Optimisation with Evolutionary Programming
CBMS '98 Proceedings of the Eleventh IEEE Symposium on Computer-Based Medical Systems
Evaluating Breastfeeding Advantages Using Decision Trees
CBMS '99 Proceedings of the 12th IEEE Symposium on Computer-Based Medical Systems
A comparison of selection schemes used in evolutionary algorithms
Evolutionary Computation
Decision Trees: An Overview and Their Use in Medicine
Journal of Medical Systems
Notes on Medical Decision Model Creation
ISMDA '01 Proceedings of the Second International Symposium on Medical Data Analysis
Autonomous evolutionary algorithm in medical data analysis
Computer Methods and Programs in Biomedicine
Modelling teens clothing fashion preferences using machine learning
ICCOMP'06 Proceedings of the 10th WSEAS international conference on Computers
Hi-index | 0.00 |
The article presents the extension of a common decision tree concept to a multidimensional -- vector -- decision tree constructed with the help of evolutionary techniques. In contrary to the common decision tree the vector decision tree can make more than just one suggestion per input sample. It has the functionality of many separate decision trees acting on a same set of training data and answering different questions. Vector decision tree is therefore simple in its form, is easy to use and analyze and can express some relationships between decisions not visible before. To explore and test the possibilities of this concept we developed a software tool -- DecRain -- for building vector decision trees using the ideas of evolutionary computing. Generated vector decision trees showed good results in comparison to classical decision trees. The concept of vector decision trees can be safely and effectively used in any decision making process.