In this paper, we present ITER, a new algorithm for pedagogical regression rule extraction. Based on a trained 'black box' model, ITER is able to extract human- ...
[PDF] ITER: An Algorithm for Predictive Regression Rule Extraction - CORE
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Based on a trained 'black box' model, ITER is able to extract human-understandable regression rules. Experiments show that the extracted model performs well in ...
In this paper, we present ITER, a new algorithm for pedagogical regression rule extraction. Based on a trained 'black box' model, ITER is able to extract human- ...
ITER: An Algorithm for Predictive Regression Rule Extraction.
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Apr 10, 2016 · In this paper, we present Minerva, which is a new algorithm for RE. The main advantage of Minerva is its ability to extract a set of rules from ...
Sep 1, 2006 · Various rule extraction techniques have been proposed to overcome this opacity restriction. However, most of these extraction techniques are ...
May 21, 2017 · Johan Huysmans, Bart Baesens, Jan Vanthienen: ITER: An Algorithm for Predictive Regression Rule Extraction. DaWaK 2006: 270-279.
In this paper, we present ITER, a new algorithm for pedagogical regression rule extraction. Based on a trained 'black box' model, ITER is able to extract human- ...
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What is the rule extraction algorithm?
Which of the following is a machine learning algorithm that can be used in both regression and classification tasks?
Nov 1, 2022 · Iter The Iter algorithm [5] is a pedagogical technique to extract symbolic knowledge from BB regressors. It follows a bottom-up strategy, ...
ITER: An Algorithm for Predictive Regression Rule Extraction · Computer Science. DaWaK · 2006.
Iter [27] is a pedagogical knowledge-extraction algorithm explicitly designed for black-box regressors. It extracts knowledge in the form of rule lists, while ...