The aim of this paper is to uncover the researchers in machine learning using the author-topic model (ATM). We collect 16,855 scientific papers from six top journals in the field of machine learning published from 1997 to 2016 and analyze them using ATM. The dataset is broken down into 4 intervals to identify the top researchers and find similar researchers using their similarity score. The similarity score is calculated using Hellinger distance. The researchers are plotted using t-SNE, which reduces the dimensionality of the data while keeping the same distance between the points. The analysis of our study helps the upcoming researchers to find the top researchers in their area of interest.

翻译：本文的目的是利用作者专题模型(ATM)发现在机器学习中的研究人员。我们从1997年至2016年出版的机器学习领域六大期刊收集了16 855份科学论文,并使用ATM进行了分析。数据集分为4个间隔,以识别顶尖研究人员,并使用相似的分数查找类似的研究人员。类似的分数是用Hellinger距离计算的。研究人员是使用t-SNE绘制的,T-SNE降低了数据的维度,同时保持了各点之间的距离。我们的研究分析有助于即将到来的研究人员在其感兴趣的领域找到顶尖研究人员。