Shape Understanding System Machine Understanding and Human Understanding / by Zbigniew Les, Magdalena Les.
By: Les, Zbigniew., autor
Contributor(s): Les, Magdalena., autor
Material type:
E-bookSeries: (Studies in Computational Intelligence,, 1860-949X ;; 588); (Engineering (Springer-11647)).Publisher: Cham : Springer International Publishing, 2015Description: 1 recurso en línea (X, 256 páginas 189 ilustraciones, 90 ilustraciones a color.).ISBN: 9783319141978.Subject: Aprendizaje automático
| Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
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LIBRO-E NO PRÉSTAMO
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Madrid Digital Acceso Electrónico (UEM) | Ciencias e Ingeniería | Q325.5 2015 EB (Browse shelf(Opens below)) | Acceso electrónico | eBook.12112724 |
Browsing Madrid Digital shelves, Shelving location: Acceso Electrónico (UEM) Close shelf browser (Hides shelf browser)
| Q325.5 2014 EB Robot Learning from Human Demonstration | Q325.5 2014 EB An Introduction to Constraint-Based Temporal Reasoning | Q325.5 2015 EB Machine Learning Methods for Behaviour Analysis and Anomaly Detection in Video | Q325.5 2015 EB Shape Understanding System Machine Understanding and Human Understanding | Q325.5 2015 EB Design of Experiments for Reinforcement Learning | Q325.5 2015 EB Metric Learning | Q325.5 2017 EB Machine learning for cyber physical systems : selected papers from the International Conference ML4CPS 2016 |
Understanding -- Understanding Systems -- Machine Understanding - Human Understanding -- Machine Understanding - Human Understanding -- Categories -- Problem Solving -- Visual Understanding -- Understanding Signs -- Understanding Text -- Understanding Explanations.
This is the third book presenting selected results of research on the further development of the shape understanding system (SUS) carried out by authors in the newly founded Queen Jadwiga Research Institute of Understanding. In this book the new term Machine Understanding is introduced referring to a new area of research aiming to investigate the possibility of building machines with the ability to understand. It is presented that SUS needs to some extent mimic human understanding and for this reason machines are evaluated according to the rules applied for the evaluation of human understanding. The book shows how to formulate problems and how it can be tested if the machine is able to solve these problems. .
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