Towards Integrative Machine Learning and Knowledge Extraction : BIRS Workshop, Banff, AB, Canada, July 24-26, 2015, Revised Selected Papers /

Detalles Bibliográficos
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Holzinger, Andreas. (Editor ), Goebel, Randy. (Editor ), Ferri, Massimo. (Editor ), Palade, Vasile. (Editor )
Formato: eBook
Lenguaje:English
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2017.
Edición:1st ed. 2017.
Colección:Lecture Notes in Artificial Intelligence ; 10344
Materias:
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245 1 0 |a Towards Integrative Machine Learning and Knowledge Extraction :  |b BIRS Workshop, Banff, AB, Canada, July 24-26, 2015, Revised Selected Papers /  |c edited by Andreas Holzinger, Randy Goebel, Massimo Ferri, Vasile Palade. 
250 |a 1st ed. 2017. 
260 # # |a Cham :  |b Springer International Publishing :  |b Imprint: Springer,  |c 2017. 
300 |a XVI, 207 p. 57 illus. :  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 1 |a Lecture Notes in Artificial Intelligence ;  |v 10344 
505 0 |a Towards integrative Machine Learning & Knowledge Extraction -- Machine Learning and Knowledge Extraction in Digital Pathology needs an integrative approach -- Comparison of Public-Domain Software and Services for Probabilistic Record Linkage and Address Standardization -- Better Interpretable Models for Proteomics Data Analysis Using rule-based Mining -- Probabilistic Logic Programming in Action -- Persistent topology for natural data analysis — A survey -- Predictive Models for Differentiation between Normal and Abnormal EEG through Cross-Correlation and Machine Learning Techniques -- A Brief Philosophical Note on Information -- Beyond Volume: The Impact of Complex Healthcare Data on the Machine Learning Pipeline -- A Fast Semi-Automatic Segmentation Tool for Processing Brain Tumor Images -- Topological characteristics of oil and gas reservoirs and their applications -- Convolutional and Recurrent Neural Networks for Activity Recognition in Smart Environment. 
650 0 |a Artificial intelligence. 
650 0 |a Computers. 
650 0 |a Mathematical statistics. 
650 0 |a Software engineering. 
650 0 |a Computer organization. 
650 1 4 |a Artificial Intelligence. 
650 2 4 |a Information Systems and Communication Service. 
650 2 4 |a Probability and Statistics in Computer Science. 
650 2 4 |a Software Engineering/Programming and Operating Systems. 
650 2 4 |a Computer Systems Organization and Communication Networks. 
700 1 |a Holzinger, Andreas.  |e editor.  |0 (orcid)0000-0002-6786-5194  |1 https://orcid.org/0000-0002-6786-5194 
700 1 |a Goebel, Randy.  |e editor.  |0 (orcid)0000-0002-0739-2946  |1 https://orcid.org/0000-0002-0739-2946 
700 1 |a Ferri, Massimo.  |e editor.  |0 (orcid)0000-0002-7973-9734  |1 https://orcid.org/0000-0002-7973-9734 
700 1 |a Palade, Vasile.  |e editor.  |0 (orcid)0000-0002-6768-8394  |1 https://orcid.org/0000-0002-6768-8394 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks