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...
Metrics based on Scopus® data as of March 2024PPaul 1 year ago 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. ...
Machine Learning with Applications(MLWA) is a peer reviewed, open access journal focused on research related tomachine 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), … ...
Machine Learning Researchmaintains an Editorial Team of practicing researchers from around the world, to ensure manuscripts are handled by editors who are experts in the field of study. Prof. Mehrdad Tirandazian Deapartment of Computer Science, Centennial College, Toronto Metropolitan University, Toronto...
Journal of Machine Learning Research. The Journal of Machine Learning Research (JMLR) provides an international forum for the electronic and paper publication of high-quality scholarly articles in all areas of machine learning. All published papers are freely available online. JMLR has a commitment to...
Machine Learning with Applications(MLWA) is a peer reviewed, open access journal focused on research related tomachine 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), … ...
- Mathematical, physical and computational aspects of computer vision: image formation, processing, analysis, and interpretation; machine learning techniques; statistical approaches; sensors. - Applications: image-based rendering, computer graphics, robotics, photo interpretation, image retrieval, video analysi...
The glass transition temperature of the dry polymers (Tg,dry) is a useful parameter for predicting that of hydrated polymers (Tg,wet). By combiningTg,dryand chemical structures, simple machine learning models forTg,wetcan be constructed even with a small dataset. ...
International Journal of Machine Learning and Cybernetics is a dedicated platform for the confluence of machine learning and cybernetics research. Focused ...
High-throughput generation of large and consistent ab initio data combined with advanced machine-learning techniques are enabling the creation of interatomic potentials of near ab initio quality. This capability has the potential of dramatically impacting materials research: (i) while classical interatomic...