| 书目名称 | Machine Learning and Knowledge Discovery in Databases |
| 副标题 | European Conference, |
| 编辑 | Yasemin Altun,Kamalika Das,Sašo Džeroski |
| 视频video | |
| 丛书名称 | Lecture Notes in Computer Science |
| 图书封面 |  |
| 描述 | .The three volume proceedings LNAI 10534 – 10536 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2017, held in Skopje, Macedonia, in September 2017. .The total of 101 regular papers presented in part I and part II was carefully reviewed and selected from 364 submissions; there are 47 papers in the applied data science, nectar and demo track. .The contributions were organized in topical sections named as follows:. Part I: anomaly detection; computer vision; ensembles and meta learning; feature selection and extraction; kernel methods; learning and optimization, matrix and tensor factorization; networks and graphs; neural networks and deep learning.. Part II: pattern and sequence mining; privacy and security; probabilistic models and methods; recommendation; regression; reinforcement learning; subgroup discovery; time series and streams; transfer and multi-task learning; unsupervised and semisupervised learning.. Part III: applied data science track; nectar track; and demo track.. |
| 出版日期 | Conference proceedings 2017 |
| 关键词 | anomaly detection; artificial intelligence; Bayesian networks; classification; clustering algorithms; dat |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-319-71273-4 |
| isbn_softcover | 978-3-319-71272-7 |
| isbn_ebook | 978-3-319-71273-4Series ISSN 0302-9743 Series E-ISSN 1611-3349 |
| issn_series | 0302-9743 |
| copyright | Springer International Publishing AG 2017 |
发表于 2025-3-21 17:36:39
