COMBINING TWO LAZY LEARNING METHODS FOR CLASSIFICATION AND KNOWLEDGE DISCOVERY - A Case Study for Malignant Melanoma Diagnosis

2011 ◽  
Keyword(s):  
Malignant Melanoma ◽  
Knowledge Discovery ◽  
Lazy Learning ◽  
Learning Methods ◽  
Melanoma Diagnosis

Building a Lazy Domain Theory for Characterizing Malignant Melanoma

2012 ◽  
pp. 290-308
Author(s):  
Eva Armengol ◽  
Susana Puig
Keyword(s):  
Malignant Melanoma ◽  
Inductive Learning ◽  
Domain Model ◽  
Domain Theory ◽  
Lazy Learning ◽  
Learning Method ◽  
Learning Methods ◽  
Malignant Melanomas ◽  
Inductive Theory

In this chapter, the authors propose an approach for building a model characterizing malignant melanomas. A common way to build a domain model is using an inductive learning method. Such resulting model is a generalization of the known examples. However, in some domains where there is not a clear difference among the classes, the inductive model could be too general. The approach taken in this chapter consists of using lazy learning methods for building what the authors call a lazy domain theory. The main difference between both inductive and lazy theories is that the former is complete whereas the latter is not. This means that the lazy domain theory may not cover all the space of known examples. The authors’ experiments have shown that, despite of this, the lazy domain theory has better performance than the inductive theory.

scholarly journals Spatial and temporal deep learning methods for deriving land-use following deforestation: A pan-tropical case study using Landsat time series

2021 ◽  
Vol 264 ◽  
pp. 112600
Author(s):  
Robert N. Masolele ◽  
Veronique De Sy ◽  
Martin Herold ◽  
Diego Marcos Gonzalez ◽  
Jan Verbesselt ◽  
...  
Keyword(s):  
Land Use ◽  
Time Series ◽  
Deep Learning ◽  
Learning Methods

scholarly journals Knowledge discovery from emergency ambulance dispatch during COVID-19: A case study of Nagoya City, Japan

2021 ◽  
pp. 103743
Author(s):  
Essam A. Rashed ◽  
Sachiko Kodera ◽  
Hidenobu Shirakami ◽  
Ryotetsu Kawaguchi ◽  
Kazuhiro Watanabe ◽  
...  
Keyword(s):  
Knowledge Discovery ◽  
Ambulance Dispatch ◽  
Emergency Ambulance
Sign in / Sign up

Export Citation Format

Share Document