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Bayesian Confirmation Measures in Rule-Based Classification

2017
With the rapid growth of available data, learning models are also gaining in sizes. As a result, end-users are often faced with classification results that are hard to understand. This problem also involves rule-based classifiers, which usually concentrate on predictive accuracy and produce too many rules for a human expert to interpret. In this paper,
Dariusz Brzezinski   +2 more
openaire   +1 more source

Classification and approximation with rule-based networks

1993
This thesis describes the architecture of learning systems which can explain their decisions through a rule-based knowledge representation. Two problems in learning are addressed: pattern classification and function approximation. In Part I, a pattern classifier for discrete-valued problems is presented.
openaire   +1 more source

Expressive and explainable rule-based classification

Classification rule learning produces expressive rules so that a human user can easily interpret the rationale behind the predictions of the generated model. Constructing a very accurate classification model may lead to overfitting, a common problem in data mining that causes a leaner to perform badly on test instances.
openaire   +1 more source

A Generic Framework for Rule-Based Classification

2008
Classification is an important field of data mining problems. Given a set of labeled training examples the classification task constructs a classifier. A classifier is a global model which is used to predict the class label for data objects that are unlabeled. Many approaches have been proposed for the classification problem. Among them, rule-induction,
Giacometti, Arnaud   +3 more
openaire   +1 more source

New approach to cancer therapy based on a molecularly defined cancer classification

Ca-A Cancer Journal for Clinicians, 2014
Javier Cortes   +2 more
exaly  

Lung cancer — major changes in the American Joint Committee on Cancer eighth edition cancer staging manual

Ca-A Cancer Journal for Clinicians, 2017
Ramon Rami-Porta   +2 more
exaly  

Melanoma staging: Evidence‐based changes in the American Joint Committee on Cancer eighth edition cancer staging manual

Ca-A Cancer Journal for Clinicians, 2017
Jeff Gershenwald   +2 more
exaly  

Effect of rule weights in fuzzy rule-based classification systems

IEEE Transactions on Fuzzy Systems, 2001
Hisao Ishibuchi
exaly  

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