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This document presents DEAP, a novel evolutionary computation framework designed for rapid prototyping and testing of evolutionary algorithms, focusing on explicit algorithms and transparency in data
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Journal of Machine Learning Research 13 refers to the specific volume and issue of the academic journal that publishes research on machine learning. It includes peer-reviewed articles and research findings in the field.
The Journal of Machine Learning Research 13 does not require filing as it's an academic publication. Researchers, authors, and scholars interested in disseminating their work in machine learning would typically submit papers to this journal.
Filling out a submission for Journal of Machine Learning Research 13 involves preparing a manuscript according to the journal’s formatting guidelines, including a title, abstract, introduction, methodology, results, and references, then submitting it through their online submission system.
The purpose of Journal of Machine Learning Research 13 is to promote the advancement of the field of machine learning by publishing high-quality research and providing a platform for academic dialogue among researchers and practitioners.
Authors must report detailed information including the title of the paper, abstracts summarizing the research, methodologies used, results obtained, discussions, and references to all sources cited within the work.
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