会议信息
ICMLA 2021: International Conference on Machine Learning and Applications
https://www.icmla-conference.org/icmla21/截稿日期: |
2021-07-12 Extended |
通知日期: |
2021-09-13 |
会议日期: |
2021-12-13 |
会议地点: |
Pasadena, California, USA |
届数: |
20 |
CORE: c QUALIS: b2 浏览: 28321 关注: 42 参加: 12
征稿
Scope of the Conference: •statistical learning •neural network learning •learning through fuzzy logic •learning through evolution (evolutionary algorithms) •reinforcement learning •multi-strategy learning •cooperative learning •planning and learning •multi-agent learning •online and incremental learning •scalability of learning algorithms •inductive learning •inductive logic programming •Bayesian networks •support vector machines •case-based reasoning •evolutionary computation •machine learning and natural language processing •multi-lingual knowledge acquisition and representation •grammatical inference •knowledge discovery in databases •knowledge Intensive Learning •machine learning and information retrieval •machine learning for bioinformatics and computational biology •machine learning for web navigation and mining •learning through mobile data mining •text and multimedia mining through machine learning •distributed and parallel learning algorithms and applications •feature extraction and classification •theories and models for plausible reasoning •computational learning theory •cognitive modelling •adversarial learning •machine leaning privacy •hybrid learning algorithms •deep learning •big data •machine learning in: o game playing and problem solving o intelligent virtual environments o industrial and engineering applications o homeland security applications o medicine, bioinformatics and systems biology o economics, business and forecasting applications Contributions describing applications of machine learning (ML) techniques to real-world problems, interdisciplinary research involving machine learning, experimental and/or theoretical studies yielding new insights into the design of ML systems, and papers describing development of new analytical frameworks that advance practical machine learning methods are especially encouraged.
最后更新 Dou Sun 在 2021-07-03
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相关期刊
CCF | 全称 | 影响因子 | 出版商 | ISSN |
---|---|---|---|---|
c | Medical Image Analysis | 8.545 | Elsevier | 1361-8415 |
b | Machine Learning | 2.940 | Springer | 0885-6125 |
International journal of Software Engineering & Applications | AIRCC | 0976-2221 | ||
c | Machine Translation | Springer | 0922-6567 | |
Mobile Networks and Applications | 3.426 | Springer | 1383-469X | |
International Journal of Mobile Learning and Organisation | Inderscience | 1746-725X | ||
a | Journal of Machine Learning Research | Microtome Publishing | 1532-4435 | |
c | Mobile Networks & Applications | 3.426 | Springer | 1383-469X |
International Journal of Advanced Mechanical Engineering & Applications | AR Publication | 0000-0000 | ||
Journal of Interaction Science | Springer | 2194-0827 |
全称 | 影响因子 | 出版商 |
---|---|---|
Medical Image Analysis | 8.545 | Elsevier |
Machine Learning | 2.940 | Springer |
International journal of Software Engineering & Applications | AIRCC | |
Machine Translation | Springer | |
Mobile Networks and Applications | 3.426 | Springer |
International Journal of Mobile Learning and Organisation | Inderscience | |
Journal of Machine Learning Research | Microtome Publishing | |
Mobile Networks & Applications | 3.426 | Springer |
International Journal of Advanced Mechanical Engineering & Applications | AR Publication | |
Journal of Interaction Science | Springer |
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