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Mostrando ítems 1-6 de 6
Artículo
Optimization of multi-classifiers for computational biology: application to gene finding and expression
(Springer, 2010)
Genomes of many organisms have been sequenced over the last few years. However, transforming such raw sequence data into knowledge remains a hard task. A great number of prediction programs have been developed to address ...
Artículo
Pattern recognition to forecast seismic time series
(Elsevier, 2010)
Earthquakes arrive without previous warning and can destroy a whole city in a few seconds, causing numerous deaths and economical losses. Nowadays, a great effort is being made to develop techniques that forecast these ...
Artículo
Automatic Service Agreement Negotiators in Open Commerce Environments
(Taylor and Francis, 2010)
There is a steady shift in e‑commerce from goods to services that must be provisioned according to service agreements. This study focuses on software frameworks to develop automated negotiators in open commerce ...
Artículo
Mining quantitative association rules based on evolutionary computation and its application to atmospheric pollution
(IOS Press, 2010)
This research presents the mining of quantitative association rules based on evolutionary computation techniques. First, a real-coded genetic algorithm that extends the well-known binary-coded CHC algorithm has been ...
Artículo
Trip destination prediction based on past GPS log using a Hidden Markov Model
(Elsevier, 2010)
In this paper, a system based on the generation of a Hidden Markov Model from the past GPS log and cur- rent location is presented to predict a user’s destination when beginning a new trip. This approach dras- tically ...
Artículo
A survey using constraints to decision-making for fault tolerance in Business processes
(Science and Engineering Research Support Society (SERSC), 2010)
Sometimes the business processes do not work how it is expected. In these cases, a diagnosis process has to be executed to determine the responsible activity or activities of the fault in order to substitute it or them ...