| 書目名稱 | Towards Integrative Machine Learning and Knowledge Extraction |
| 副標題 | BIRS Workshop, Banff |
| 編輯 | Andreas Holzinger,Randy Goebel,Vasile Palade |
| 視頻video | http://file.papertrans.cn/927/926958/926958.mp4 |
| 概述 | Includes supplementary material: |
| 叢書名稱 | Lecture Notes in Computer Science |
| 圖書封面 |  |
| 描述 | .The BIRS Workshop “Advances in Interactive Knowledge Discovery and Data Mining in Complex and Big Data Sets” (15w2181), held in July 2015 in Banff, Canada, was dedicated to stimulating a cross-domain integrative machine-learning approach and appraisal of “hot topics” toward tackling the grand challenge of reaching a level of useful and useable computational intelligence with a focus on real-world problems, such as in the health domain. This encompasses learning from prior data, extracting and discovering knowledge, generalizing the results, fighting the curse of dimensionality, and ultimately disentangling the underlying explanatory factors in complex data, i.e., to make sense of data within the context of the application domain.?.The workshop aimed to contribute advancements in promising novel areas such as at the intersection of machine learning and topological data analysis. History has shown that most often the overlapping areas at intersections of seemingly disparate fields are key for the stimulation of new insights and further advances. This is particularly true for the extremely broad field of machine learning.. |
| 出版日期 | Conference proceedings 2017 |
| 關(guān)鍵詞 | artificial intelligence; bioinformatics; brain tumor; classification; data mining; decision trees; deep le |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-319-69775-8 |
| isbn_softcover | 978-3-319-69774-1 |
| isbn_ebook | 978-3-319-69775-8Series ISSN 0302-9743 Series E-ISSN 1611-3349 |
| issn_series | 0302-9743 |
| copyright | Springer International Publishing AG 2017 |
|Archiver|手機版|小黑屋|
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