In this paper, we propose an approach based on a new hybrid learning method that allows the preservation of the transparency. The resulting classifier is based ...
It includes time dependence, data selection, forecast horizon, measures of success, quality of patterns, hypothesis evaluation, problem ID, method profile, ...
Nicolas Ragot, Eric Anquetil. A new hybrid learning method for fuzzy decision trees. 10th IEEE International Conference on Fuzzy Systems (FUZZ'IEEE 01), ...
This study focuses on data mining approach for stock market prediction. The aim is to discover unknown patterns, new rules and hidden knowledge from large ...
A new hybrid method to train Fuzzy Cognitive Maps, based on a two stage learning approach, first stage the nonlinear Hebbian learning algorithm and second stage ...
Thus, one fundamental problem is how to improve the learning accuracy while the comprehensibility is kept. This paper focuses on this problem and proposes using ...
This paper addresses a new hybrid technique for on-line learning, that combines incremental decision trees (ITI-2.8) and fuzzy logic for concept learning ...
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Oct 22, 2024 · We describe a new algorithm able to infer fuzzy decision trees in domains where most of the input variables are numerical and output ...
In this paper, a hybrid learning approach named Flexible NBTree is proposed. Flexible NBTree uses Bayes measure δ to select proper test and applies ...
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One popular approach is called decision tree induction, which (together with a learning algorithm ID3 and a simple reasoning mechanism) was initially developed ...