Add to ORKGThis paper addresses the issue of the induction of orthogonal, oblique and multivariate decision trees. Algorithms proposed by other researchers use heuristic, usually based on the information gain concept, to induce decision trees greedily
Decision tree induction algorithms represent one of the most popular techniques for dealing with cla...
In decision tree learning, the traditional top-down divide and conquer approach searches a limited p...
This study reports the empirical analysis of a hyper-heuristic evolutionary algorithm that is capabl...
This paper addresses the issue of the induction of orthogonal, oblique and multivariate decision tr...
Abstract. Instead of using or fine-tuning the well-known greedy methods to induce decision trees, we...
This paper illustrates the application of evolutionary algorithms (EAs) to the problem of oblique de...
Abstract. In the paper, a new evolutionary approach to induction of oblique decision trees is descri...
This paper presents a survey of evolutionary algorithms that are designed for decision-tree inductio...
This paper presents a survey of evolutionary algorithms that are designed for decision-tree inductio...
This article describes a new system for induction of oblique decision trees. This system, OC1, combi...
This paper introduces OC1, a new algorithm for generating multivariate decision trees. Multivariate ...
This article describes a new system for induction of oblique decision trees. This system, OC1, combi...
Decision tree induction is one of the most employed methods to extract knowledge from data, since th...
One of the biggest problem that many data analysis techniques have to deal with nowadays is Combinat...
Among the several tasks that evolutionary algorithms have successfully employed, the induction of c...
Decision tree induction algorithms represent one of the most popular techniques for dealing with cla...
In decision tree learning, the traditional top-down divide and conquer approach searches a limited p...
This study reports the empirical analysis of a hyper-heuristic evolutionary algorithm that is capabl...
This paper addresses the issue of the induction of orthogonal, oblique and multivariate decision tr...
Abstract. Instead of using or fine-tuning the well-known greedy methods to induce decision trees, we...
This paper illustrates the application of evolutionary algorithms (EAs) to the problem of oblique de...
Abstract. In the paper, a new evolutionary approach to induction of oblique decision trees is descri...
This paper presents a survey of evolutionary algorithms that are designed for decision-tree inductio...
This paper presents a survey of evolutionary algorithms that are designed for decision-tree inductio...
This article describes a new system for induction of oblique decision trees. This system, OC1, combi...
This paper introduces OC1, a new algorithm for generating multivariate decision trees. Multivariate ...
This article describes a new system for induction of oblique decision trees. This system, OC1, combi...
Decision tree induction is one of the most employed methods to extract knowledge from data, since th...
One of the biggest problem that many data analysis techniques have to deal with nowadays is Combinat...
Among the several tasks that evolutionary algorithms have successfully employed, the induction of c...
Decision tree induction algorithms represent one of the most popular techniques for dealing with cla...
In decision tree learning, the traditional top-down divide and conquer approach searches a limited p...
This study reports the empirical analysis of a hyper-heuristic evolutionary algorithm that is capabl...