Towards Integrative Machine Learning and Knowledge Extraction

Towards Integrative Machine Learning and Knowledge Extraction
Author :
Publisher : Springer
Total Pages : 220
Release :
ISBN-10 : 9783319697758
ISBN-13 : 3319697757
Rating : 4/5 (757 Downloads)

Book Synopsis Towards Integrative Machine Learning and Knowledge Extraction by : Andreas Holzinger

Download or read book Towards Integrative Machine Learning and Knowledge Extraction written by Andreas Holzinger and published by Springer. This book was released on 2017-10-27 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.


Towards Integrative Machine Learning and Knowledge Extraction Related Books

Towards Integrative Machine Learning and Knowledge Extraction
Language: en
Pages: 220
Authors: Andreas Holzinger
Categories: Computers
Type: BOOK - Published: 2017-10-27 - Publisher: Springer

DOWNLOAD EBOOK

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,
Machine Learning and Knowledge Extraction
Language: en
Pages: 0
Authors: Andreas Holzinger
Categories: Computers
Type: BOOK - Published: 2019-08-23 - Publisher: Springer

DOWNLOAD EBOOK

This book constitutes the refereed proceedings of the IFIP TC 5, TC 12, WG 8.4, 8.9, 12.9 International Cross-Domain Conference for Machine Learning and Knowled
Machine Learning and Knowledge Extraction
Language: en
Pages: 379
Authors: Andreas Holzinger
Categories: Computers
Type: BOOK - Published: 2018-08-23 - Publisher: Springer

DOWNLOAD EBOOK

This book constitutes the refereed proceedings of the IFIP TC 5, WG 8.4, 8.9, 12.9 International Cross-Domain Conference for Machine Learning and Knowledge Extr
Machine Learning for Health Informatics
Language: en
Pages: 503
Authors: Andreas Holzinger
Categories: Computers
Type: BOOK - Published: 2016-12-09 - Publisher: Springer

DOWNLOAD EBOOK

Machine learning (ML) is the fastest growing field in computer science, and Health Informatics (HI) is amongst the greatest application challenges, providing fu
Artificial Intelligence and Machine Learning for Digital Pathology
Language: en
Pages: 351
Authors: Andreas Holzinger
Categories: Computers
Type: BOOK - Published: 2020-06-24 - Publisher: Springer Nature

DOWNLOAD EBOOK

Data driven Artificial Intelligence (AI) and Machine Learning (ML) in digital pathology, radiology, and dermatology is very promising. In specific cases, for ex