Demonstrates how to apply learning methods to solve significant application problems. Improves how machine learning research is conducted. Prioritizes verifiable and replicable supporting evidence in all published papers. Editor-in-Chief Hendrik Blockeel Journal Impact Factor 4.3 (2023) 5-year Journal...
Does SJR have any plans to add JMLR's sister journal, Transactions on Machine Learning Research (Available here: https://jmlr.org/tmlr/) as an entry on your site? I would be curious to see what their metrics are. Thanks. Reply MMelanie Ortiz 12 months ago Dear Paul,Thank you for con...
Journal Impact Factor 6.4 (2023) 5-year Journal Impact Factor 6.4 (2023) Latest issue October 2024| Volume 21, Issue 5 Latest articles Fully 1 × 1 Convolutional Network for Lightweight Image Super-resolution Gang Wu Junjun Jiang Xianming Liu ...
The chart shows the evolution of the average number of times documents published in a journal in the past two, three and four years have been cited in the current year. The two years line is equivalent to journal impact factor ™ (Thomson Reuters) metric. Cites per documentYearValue ...
机器学习研究杂志(Journal Of Machine Learning Research)是一本由Microtome Publishing出版的一本工程技术-计算机:人工智能学术刊物,主要报道工程技术-计算机:人工智能相关领域研究成果与实践。本刊已入选来源期刊,该刊创刊于2001年,出版周期Bimonthly。2021-2022年最新版WOS分区等级:Q1,2023年发布的影响因子为4.3,CiteScor...
(iii) learning rate (shrinkage factor) — slows down the learning in the gradient tree boosting model by reducing the impact of each individual tree in the estimates and leaving space for future trees to improve the model, and finally, (iv) subsampling rate — the fraction of samples to be...
Machine Learning Metabolic Engineering Synthetic Biology Deep Learning 1. Introduction Metabolic engineering is enjoying an auspicious moment, when its potential is becoming evident in the form of many commercially available products with undeniable impact on society. This discipline has produced: synthetic ...
Behnam Fahimnia, in International Journal of Production Economics, 2021 2.2 Learning from data Perhaps the most broadly known and popular branch of AI is machine learning, which is classified into the major application of “learning” in the proposed taxonomy. Machine learning is associated with ...
The use of scales in ML methods in Bioinformatics spans among different applications, goals of the studies and Impact Factor (IF) of the journal; a partial list of the most notable papers (with more than 100 citations) using them is the following:14,21,22,23,26,27. Other examples of ...
国际机器学习与控制论杂志(International Journal Of Machine Learning And Cybernetics)是一本由Springer Berlin Heidelberg出版的一本COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE学术刊物,主要报道COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE相关领域研究成果与实践。本刊已入选来源期刊,该刊创刊于2010年,出版周期12 issues per ye...