کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6864307 | 1439538 | 2018 | 18 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Tips, guidelines and tools for managing multi-label datasets: The mldr.datasets R package and the Cometa data repository
دانلود مقاله + سفارش ترجمه
دانلود مقاله ISI انگلیسی
رایگان برای ایرانیان
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Tips, guidelines and tools for managing multi-label datasets: The mldr.datasets R package and the Cometa data repository Tips, guidelines and tools for managing multi-label datasets: The mldr.datasets R package and the Cometa data repository](/preview/png/6864307.png)
چکیده انگلیسی
New proposals in the field of multi-label learning algorithms have been growing in number steadily over the last few years. The experimentation associated with each of them always goes through the same phases: selection of datasets, partitioning, training, analysis of results and, finally, comparison with existing methods. This last step is often hampered since it involves using exactly the same datasets, partitioned in the same way and using the same validation strategy. In this paper we present a set of tools whose objective is to facilitate the management of multi-label datasets, aiming to standardize the experimentation procedure. The two main tools are an R package, mldr.datasets, and a web repository with datasets, Cometa. Together, these tools will simplify the collection of datasets, their partitioning, documentation and export to multiple formats, among other functions. Some tips, recommendations and guidelines for a good experimental analysis of multi-label methods are also presented.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurocomputing - Volume 289, 10 May 2018, Pages 68-85
Journal: Neurocomputing - Volume 289, 10 May 2018, Pages 68-85
نویسندگان
Francisco Charte, Antonio J. Rivera, David Charte, MarÃa J. del Jesus, Francisco Herrera,