Towards Integrative Machine Learning and Knowledge Extraction: BIRS Workshop, Banff, AB, Canada, Jul
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- Artikel-Nr.: 10462226
Beschreibung
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.
Eigenschaften
Breite: | 164 |
Gewicht: | 347 g |
Höhe: | 237 |
Länge: | 12 |
Seiten: | 207 |
Sprachen: | Englisch |
Autor: | Andreas Holzinger, Massimo Ferri, Randy Goebel, Vasile Palade |
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