International journal of machine learning and computing FAQ - ResearchHelpDesk

International journal of machine learning and computing FAQ - ResearchHelpDesk - International Journal of Machine Learning and Computing - IJMLC is an international academic open access journal which gains a foothold in Singapore, Asia and opens to the world. It aims to promote the integration of machine learning and computing. The focus is to publish papers on state-of-the-art machine learning and computing. Submitted papers will be reviewed by technical committees of the Journal and Association. The audience includes researchers, managers and operators for machine learning and computing as well as designers and developers. All submitted articles should report original, previously unpublished research results, experimental or theoretical, and will be peer-reviewed. Articles submitted to the journal should meet these criteria and must not be under consideration for publication elsewhere. Manuscripts should follow the style of the journal and are subject to both review and editing. IJMLC is an open access journal which focus on publishing original and peer reviewed research papers on all aspects of machine learning and computing. And the topics include but not limited to: Adaptive systems Business intelligence Biometrics Bioinformatics Data and web mining Intelligent agent Financial engineering Inductive learning Geo-informatics Pattern Recognition Logistics Intelligent control Media computing   Neural net and support vector machine Hybrid and nonlinear system Fuzzy set theory, fuzzy control and system Knowledge management Information retrieval Intelligent and knowledge based system Rough and fuzzy rough set Networking and information security Evolutionary computation Ensemble method Information fusion Visual information processing Computational life science   Abstract & indexing Scopus (since 2017), EI (INSPEC, IET), Google Scholar, Crossref, ProQuest, Electronic Journals Library.

《国际机器学习与计算杂志》FAQ - 研究帮助台 - 《国际机器学习与计算杂志》（IJMLC）系一本在新加坡立足、面向亚洲并开放给全球的国际化学术开放获取期刊。其宗旨在于推动机器学习与计算领域的融合。该刊聚焦于发表最前沿的机器学习与计算领域的研究论文。所提交的论文将由期刊及协会的技术委员会进行审阅。读者群体包括机器学习与计算领域的研究者、管理者及操作人员，以及设计师和开发者。所有提交的文章应报告原创、未曾公开发表的研究成果，无论实验性还是理论性，并将接受同行评审。提交给本刊的论文应符合这些标准，且不得在其他地方考虑发表。稿件应遵循期刊的风格，并需接受审阅和编辑。IJMLC为开放获取期刊，专注于出版关于机器学习与计算所有方面的原创及同行评审研究论文。主题涵盖但不限于：自适应系统、商业智能、生物识别、生物信息学、数据与网络挖掘、智能代理、金融工程、归纳学习、地理信息系统、模式识别、物流、智能控制、媒体计算、神经网络与支持向量机、混合与非线形系统、模糊集合理论、模糊控制与系统、知识管理、信息检索、智能与基于知识的系统、粗糙与模糊粗糙集、网络与信息安全、进化计算、集成方法、信息融合、视觉信息处理、计算生命科学、摘要与索引、Scopus（自2017年起）、EI（INSPEC、IET）、Google Scholar、Crossref、ProQuest、电子期刊图书馆。