Add to ORKGIn this paper we present our new paradigm for dealing with the inference problem which arises from downgrading. Our new paradigm has two main parts: the application of decision tree analysis to the inference problem, and the concept of parsimonious downgrading. We also include a new thermodynamically motivated way of dealing with the deduction of inference rules from partial data
The belief decision tree (BDT) approach is a decision tree in an uncertain environment where the unc...
Induction methods have recently been found to be useful in a wide variety of business related proble...
In this paper, we consider decision trees that use two types of queries: queries based on one attrib...
Abstract. This paper presents new inference algorithms based on rules partition. Optimisation relies...
Claims about the interpretability of decision trees can be traced back to the origins of machine lea...
This paper extends recent work on decision tree grafting. Grafting is an inductive process that adds...
This paper presents some empirical results on simplification methods of decision trees induced from ...
l. Introduction. Grammatical inference is one of the classical areas of language theory. The basic t...
We propose a new variant of decision tree for imbal-anced classification. Decision trees use a greed...
This paper investigates a different foundation for decision theory in which successive model refinem...
Many systems have been developed for constructing decision trees from collections of examples. Alt...
AbstractDecision trees are a frequently used form of representation especially in application areas ...
We present arguments for the formulation of unified approach to different standard continuous infere...
This paper addresses the issue of the induction of orthogonal, oblique and multivariate decision t...
This thesis investigates the problem of growing decision trees from data, for the purposes of classi...
The belief decision tree (BDT) approach is a decision tree in an uncertain environment where the unc...
Induction methods have recently been found to be useful in a wide variety of business related proble...
In this paper, we consider decision trees that use two types of queries: queries based on one attrib...
Abstract. This paper presents new inference algorithms based on rules partition. Optimisation relies...
Claims about the interpretability of decision trees can be traced back to the origins of machine lea...
This paper extends recent work on decision tree grafting. Grafting is an inductive process that adds...
This paper presents some empirical results on simplification methods of decision trees induced from ...
l. Introduction. Grammatical inference is one of the classical areas of language theory. The basic t...
We propose a new variant of decision tree for imbal-anced classification. Decision trees use a greed...
This paper investigates a different foundation for decision theory in which successive model refinem...
Many systems have been developed for constructing decision trees from collections of examples. Alt...
AbstractDecision trees are a frequently used form of representation especially in application areas ...
We present arguments for the formulation of unified approach to different standard continuous infere...
This paper addresses the issue of the induction of orthogonal, oblique and multivariate decision t...
This thesis investigates the problem of growing decision trees from data, for the purposes of classi...
The belief decision tree (BDT) approach is a decision tree in an uncertain environment where the unc...
Induction methods have recently been found to be useful in a wide variety of business related proble...
In this paper, we consider decision trees that use two types of queries: queries based on one attrib...