Rule induction

Known as: Rule extraction, Rule learning

Rule induction is an area of machine learning in which formal rules are extracted from a set of observations. The rules extracted may represent a…

Papers overview

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2013

Rhetorical structure theory (RST) is widely used for discourse understanding, which represents a discourse as a hierarchically…

2012

We developed a string-to-tree system for English--German, achieving competitive results against a hierarchical model baseline. We…

2011

Link prediction is a task that in graph-based data models, as well as, in complex networks not only to predict edges that will…

2007

Although backpropagation ANNs generally predict better than decision trees do for pattern classification problems, they are often…

2007

Providing efficient and easy-to-use graphical tools to users is a promising challenge of data mining (DM). These tools must be…

2004

Given a class model built from a dataset including labeled data, classification assigns a new data object to the appropriate…

2002

Data dimensionality reduction is one of the preprocessing procedures carried out before inputting patterns to classifiers. In…

2000

A comprehensive methodology of extraction of optimal sets of logical rules using neural networks and global minimization…

1997

1997

Rules extracted from trained feedforward networks can be used for explanation, validation, and cross-referencing of network…