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dc.contributor.authorCarney, Michael
dc.contributor.authorCunningham, Padraig
dc.contributor.authorDowling, Jim
dc.date.accessioned2008-01-29T11:09:40Z
dc.date.available2008-01-29T11:09:40Z
dc.date.issued2006-02-10
dc.identifier.citationCarney, Michael; Cunningham, Padraig; Dowling, Jim. 'Predicting Probability Distributions for Surf Height Using an Ensemble of Mixture Density Networks'. - Dublin, Trinity College Dublin, Department of Computer Science, TCD-CS-2006-06, 2006, pp14en
dc.identifier.otherTCD-CS-2006-06
dc.identifier.urihttp://hdl.handle.net/2262/13505
dc.description.abstractThere is a range of potential applications of Machine Learning where it would be more useful to predict the probability distribution for a variable rather than simply the most likely value for that variable. In meteorology and in finance it is often important to know the probability of a variable falling within (or outside) different ranges. In this paper we consider the prediction of surf height with the objective of predicting if it will fall within a given `surfable? range. Prediction problems such as this are considerably more difficult if the distribution of the phenomenon is significantly different from a normal distribution. This is the case with the surf data we have studied. To address this we use an ensemble of mixture density networks to predict the probability density function. Our evaluation shows that this is an effective solution. We also describe a web-based application that presents these predictions in a usable manner.en
dc.format.extent772027 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherTrinity College Dublin, Department of Computer Scienceen
dc.relation.ispartofseriesComputer Science Technical Reporten
dc.relation.ispartofseriesTCD-CS-2006-06en
dc.relation.haspartTCD-CS-[no.]en
dc.subjectComputer Scienceen
dc.titlePredicting Probability Distributions for Surf Height Using an Ensemble of Mixture Density Networksen
dc.typeTechnical Reporten
dc.identifier.rssurihttps://www.cs.tcd.ie/publications/tech-reports/reports.06/TCD-CS-2006-06.pdf


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