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Parallel evaluation of Pittsburgh rule-based classifiers on GPUs
(2017-01-19)
Individuals from Pittsburgh rule-based classifiers represent a complete solution
to the classification problem and each individual is a variable-length set
of rules. Therefore, these systems usually demand a high level ...
Speeding up Multiple Instance Learning Classification Rules on GPUs
(2017)
Multiple instance learning is a challenging task in supervised learning and data mining. How-
ever, algorithm performance becomes slow when learning from large-scale and high-dimensional data sets.
Graphics processing ...
Scalable CAIM Discretization on Multiple GPUs Using Concurrent Kernels
(2017)
CAIM(Class-Attribute InterdependenceMaximization) is one of the stateof-
the-art algorithms for discretizing data for which classes are known. However, it
may take a long time when run on high-dimensional large-scale ...
A guided data projection technique for classi cation of sovereign ratings: the case of European Union 27
(2017-01-20)
Sovereign rating has had an increasing importance since the beginning of the
nancial crisis. However, credit rating agencies opacity has been criticised by
several authors highlighting the suitability of designing more ...
Remote Sensing and Archaeology from Spanish LiDAR - PNOA: Identifying the Amphitheatre of the Roman City of Torreparedones (Córdoba - Andalucía - Spain )
(University of the Aegean, 2017)
Between 2015 and 2016 the Instituto Geográfico Nacional de España (Spanish Geographical Institute) made public the results of a LiDAR fl ight over the entire national territory. In the case of Andalucía, this flight was ...
Memetic Evolutionary Multi-Objective Neural Network Classifier to Predict Graft Survival in Liver Transplant Patients
(2017-02-17)
In liver transplantation, matching donor and recipient is a
problem that can be solved using machine learning techniques.
In this paper we consider a liver transplant dataset
obtained from eleven Spanish hospitals, ...