Nov 15, 2021 · In this work is proposed a method that is able to generate artificial datasets for up to four of the different hierarchical classification problems.
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Nov 15, 2021 · Thus, in this work is proposed a method that is able to generate artificial datasets for up to four of the different hierarchical classification ...
The WOS Hierarchical Text Classification are three dataset variants created from Web of Science (WOS) title and abstract data categorised into a hierarchical, ...
Let's start with a dataset with Amazon product reviews, classes are structured: 6 "level 1" classes, 64 "level 2" classes, and 510 "level 3" classes. I share 3 ...
Missing: Artificial | Show results with:Artificial
HMC trees outperform HSC and SC trees along three dimensions: predictive accuracy, model size, and induction time, and it is concluded that HMC trees should ...
Oct 22, 2024 · Thus, in this work is proposed a method that is able to generate artificial datasets for up to four of the different hierarchical classification ...
Oct 18, 2024 · Hierarchical classification is a specialized method in machine learning that deals with classifying instances where categories have a structured ...
Artificial datasets for hierarchical classification ; Journal: Expert Systems with Applications, 2021, p. 115218 ; Publisher: Elsevier BV ; Authors: Jonathan ...
Jun 13, 2022 · We study the problem of differentially private synthetic data generation for hierarchical datasets in which individual data points are grouped together.
Missing: Artificial | Show results with:Artificial
Artificial Datasets for Hierarchical Classification - jona2510/ADforHC.