Machine Learning with Applications (MLWA) is a peer reviewed, open access journal focused on research related to machine learning. The journal encompasses all aspects of research and development in ML, including but not limited to data mining, computer vision, natural language processing (NLP), in...
目前还只是一本普通的国际期刊，未被SCI或EI等大数据检索。
Non-Local Morphological PDEs and p-Laplacian Equation on Graphs with applications in image processing and machine learning Desquesnes, X., Lézoray, O.: Non-local morphological pdes and-laplacian equation on graphs with applications in image processing and machine learning. ... A Elmoataz,X Des...
《信号处理和机器学习及其应用》Signal Processing and Machine Learning with Applications leizi smart 把水烧开29 人赞同了该文章 目录 收起 内容介绍 书籍目录 1信号处理领域 2机器学习和识别 3实际情况和应用 书籍推荐《信号处理和机器学习及其应用》下载地址 内容介绍 包含三个主要部分:信号处理领域、机器...
该期刊 属于CCF 推荐的顶刊,但是中科院评级大类2区,该刊在数据领域口碑还是不错,该刊平均审稿周期还是可以的,录用比例也是较高的,但是个别网友反映该期刊的整个流程全部下来要1年左右,对于该刊的性价比来说还是很高的,推荐读博中后期的选手入手,该刊的较多投稿都是从ccf推荐会议上发表的论文通过扩展以后发表的,如...
Machine Learning in Finance Edited byProfessor Ying Tan Department of Machine Intelligence, School of EECS, Peking University, Beijing, China, ytan@pku.edu.cn 24 August 2022 Partner journals Expert Systems with Applications Supportsopen access ...
Proceedings of the 2003 International Conference on Machine Learning and Applications - ICMLA 2003, June 23-24, 2003, Los Angeles, California, USA (CAIM) Discretization Algorithm, Proceedings of the 2003 International Conference on Machine Learning and Applications (ICMLA'03), Los Angeles, pp.30-36...
journal... 分享回复赞 人工智能吧 cil_pku 【EI检索】第七届数据挖掘与大数据国际会议征稿 DMBD'2022优秀论文将被推荐至SCI期刊(including IEEE Trans, Neurocomputing, Machine Learning with Applications, International Journal of Intelligence System, Expert System with Applications, Entropy, ...
Scale Applications with Microsoft Azure Redis and Machine Learning By Stefano Tempesta In a multi-tier application, bottlenecks can occur at any of the connection points between two tiers: at business logic and data access layers, client and service layers, presentat...
It is challenging to test machine learning (ML) applications, which are intended to learn properties of data sets where the correct answers are not already known. In the absence of a test oracle, one approach to testing these applications is to use metamorphic testing, in which properties of ...