Modeling of Decision Trees Through P Systems

Decision Trees for Obtaining Active Rules in Transition P Systems

The aim of this work is to reduce the time that a membrane spends in working out the active rules subset in every evolution step. With this purpose, it is proposed carrying out a previous static analysis over the Transition P system, obtaning a decision tree with the collected information. In such a way that active rules subset will be determined as a classification problem. It will be shown ad...

Improving decision trees for acoustic modeling

In the last few years, the power and simplicity of classification trees as acoustic modeling tools have gained them much popularity. In [1], we studied ‘‘tree units’’, which cluster parameters at the HMM level. Building on this earlier work, we examine some new variants of Young et al’s ‘‘tree states’’, which cluster parameters at the state level [2]. We have experimented with: 1. Making unitar...

Ontology Granulation Through Inductive Decision Trees

Ontology Enhancement through Inductive Decision Trees

The popularity of ontologies for representing the semantics behind many real-world domains has created a growing pool of ontologies on various topics. Different ontologists, experts, and organizations create a great variety of ontologies, often for narrow application domains. Some of the created ontologies frequently overlap with other ontologies in broader domains if they pertain to the Semant...

Extracting decision rules from police accident reports through decision trees.

Given the current number of road accidents, the aim of many road safety analysts is to identify the main factors that contribute to crash severity. To pinpoint those factors, this paper shows an application that applies some of the methods most commonly used to build decision trees (DTs), which have not been applied to the road safety field before. An analysis of accidents on rural highways in ...