Massimo Ferri & Randy Goebel 
Towards Integrative Machine Learning and Knowledge Extraction [EPUB ebook] 
BIRS Workshop, Banff, AB, Canada, July 24-26, 2015, Revised Selected Papers

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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.

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Ngôn ngữ Anh ● định dạng EPUB ● ISBN 9783319697758 ● Biên tập viên Massimo Ferri & Randy Goebel ● Nhà xuất bản Springer International Publishing ● Được phát hành 2017 ● Có thể tải xuống 3 lần ● Tiền tệ EUR ● TÔI 6647101 ● Sao chép bảo vệ Adobe DRM
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