AMBIENTUM BIOETHICA BIOLOGIA CHEMIA DIGITALIA DRAMATICA EDUCATIO ARTIS GYMNAST. ENGINEERING EPHEMERIDES EUROPAEA GEOGRAPHIA GEOLOGIA HISTORIA HISTORIA ARTIUM INFORMATICA IURISPRUDENTIA MATHEMATICA MUSICA NEGOTIA OECONOMICA PHILOLOGIA PHILOSOPHIA PHYSICA POLITICA PSYCHOLOGIA-PAEDAGOGIA SOCIOLOGIA THEOLOGIA CATHOLICA THEOLOGIA CATHOLICA LATIN THEOLOGIA GR.-CATH. VARAD THEOLOGIA ORTHODOXA THEOLOGIA REF. TRANSYLVAN
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STUDIA INFORMATICA - Ediţia nr.2 din 2015 | |||||||
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APPLYING SUPPORT VECTOR REGRESSION METHODS FOR HEIGHT ESTIMATION IN ARCHAEOLOGY. Autori: . |
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Rezumat:
In this paper we apply Support Vector Machines to the problem of predicting the height of human skeletons given bone measurements.There exist archaeological methods for estimating height, but our purposeis to investigate the potential of Support Vector Regression for this task. Since skeletal stature clearly depends on individual bone lengths, building SVM models for this task has the potential of giving an accurate machine learning automation for this task, which can be useful for archaeologists.We investigate multiple kernels and performance evaluation methodologies and compare our results to existing literature results on the topic. Our experiments show that SVM regression models are very good for the problemat hand, out performing existing approaches. 2010 Mathematics Subject Classification. 68T05, 68T01. Key words and phrases. height estimation, regression, support vector machines, archaeology, forensic science.
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