Book ChapterDOI
A method for optimal division of data sets for use in neural networks
Patricia S. Crowther,Robert Cox +1 more
- pp 1-7
TLDR
This work proposes an alternative method for the optimal division of the data, based on empirical evidence from experiments with artificial data, and is tested on real world data sets, with encouraging results.Abstract:
Neural Networks are used to find a generalised solution from a sample set of a problem domain. When a small sample is all that is available, the correct division of data between the training, testing and validation sets is crucial to the performance of the resultant trained network. Data is often divided uniformly between the three data sets. We propose an alternative method for the optimal division of the data, based on empirical evidence from experiments with artificial data. The method is tested on real world data sets, with encouraging results.read more
Citations
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Journal ArticleDOI
Deep learning predictions of survival based on MRI in amyotrophic lateral sclerosis
Hannelore K. van der Burgh,Ruben Schmidt,Henk Jan Westeneng,Marcel A. de Reus,Leonard H. van den Berg,Martijn P. van den Heuvel +5 more
TL;DR: The findings show the added value of MRI with respect to predicting survival in ALS, demonstrating the advantage of deep learning in disease prognostication.
Journal ArticleDOI
Dynamic Travel Time Prediction Models for Buses Using Only GPS Data
Wei Fan,Zegeye Gurmu +1 more
TL;DR: In conclusion, it is shown that bus travel time information can be reasonably provided using only arrival and departure time information at stops even in the absence of traffic-stream data.
Journal ArticleDOI
WoLMIS: a labor market intelligence system for classifying web job vacancies
Roberto Boselli,Mirko Cesarini,Stefania Marrara,Fabio Mercorio,Mario Mezzanzanica,Gabriella Pasi,Marco Viviani +6 more
TL;DR: This paper presents WoLMIS, a system aimed at collecting and automatically classifying multilingual Web job vacancies with respect to a standard taxonomy of occupations, which allows analysts and Labor Market specialists to make sense of Labor Market dynamics and trends of several countries in Europe.
Journal ArticleDOI
Workload-adaptive cruise control – A new generation of advanced driver assistance systems
TL;DR: Simulation data show that it is technologically possible to adapt driver assistance systems that employ physiological data for the detection of driver workload and suggest that WACC systems should be considered as a next step in the development of ADAS.
Journal ArticleDOI
Prediction of clamp-derived insulin sensitivity from the oral glucose insulin sensitivity index.
Andrea Tura,Gaetano Chemello,Julia Szendroedi,Christian S. Göbl,Kristine Færch,Jana Vrbikova,Giovanni Pacini,Ele Ferrannini,Michael Roden +8 more
TL;DR: The new index PREDIM provides excellent prediction of M values from OGTT or meal data, thereby allowing comparison of insulin sensitivity between studies using different tests.
References
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Book
Neural Networks: A Comprehensive Foundation
TL;DR: Thorough, well-organized, and completely up to date, this book examines all the important aspects of this emerging technology, including the learning process, back-propagation learning, radial-basis function networks, self-organizing systems, modular networks, temporal processing and neurodynamics, and VLSI implementation of neural networks.
Journal ArticleDOI
Bagging predictors
TL;DR: Tests on real and simulated data sets using classification and regression trees and subset selection in linear regression show that bagging can give substantial gains in accuracy.
Proceedings Article
Experiments with a new boosting algorithm
Yoav Freund,Robert E. Schapire +1 more
TL;DR: This paper describes experiments carried out to assess how well AdaBoost with and without pseudo-loss, performs on real learning problems and compared boosting to Breiman's "bagging" method when used to aggregate various classifiers.