Support Vectors Machine
Mostrando 1-8 de 8 artigos, teses e dissertações.
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1. Identifying olive oil fraud and adulteration using machine learning algorithms
As olive oil (OO) is more expensive than other vegetable oils, it is usually adulterated by blending it with more economic edible oils such as cottonseed oil (CSO), canola oil (CO), and soybean oil (SO). This research aimed to determine the fatty acid compositions obtained as a result of blending different proportions of CSO, CO and SO with OO using a gas ch
Química Nova. Publicado em: 2022
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2. Máquina de vetores de suporte aplicada a dados de espectroscopia NIR de combustíveis e lubrificantes para o desenvolvimento de modelos de regressão e classificação / Support vectors machine applied to NIR spectroscopy data of fuels and lubricants for development of regression and classification models
Modelos lineares de regressão e classificação por vezes proporcionam um desempenho insatisfatório no tratamento de dados de espectroscopia no infravermelho próximo de produtos derivados de petróleo. A máquina de vetores de suporte (SVM), baseada na teoria do aprendizado estatístico, possibilita o desenvolvimento de modelos de regressão e classifica�
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 15/02/2012
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3. Seleção de características por meio de algoritmos genéticos para aprimoramento de rankings e de modelos de classificação / Feature selection by genetic algorithms to improve ranking and classification models
Content-based image retrieval (CBIR) and classification systems rely on feature vectors extracted from images considering specific visual criteria. It is common that the size of a feature vector is of the order of hundreds of elements. When the size (dimensionality) of the feature vector is increased, a higher degree of redundancy and irrelevancy can be obse
Publicado em: 2011
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4. Classificação de sinais de eletroencefalograma usando máquinas de vetores suporte
Electroencephalogram (EEG) is a clinical method widely used to study brain function and neurological disorders. The EEG is a temporal data series which records the electrical activity of the brain. The EEG monitoring systems create a huge amount of data; with this fact a visual analysis of the EEG is not feasible. Because of this, there is a strong demand fo
Publicado em: 2009
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5. A machine learning approach to automatic music genre classification
This paper presents a non-conventional approach for the automatic music genre classification problem. The proposed approach uses multiple feature vectors and a pattern recognition ensemble approach, according to space and time decomposition schemes. Despite being music genre classification a multi-class problem, we accomplish the task using a set of binary c
Journal of the Brazilian Computer Society. Publicado em: 2008-09
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6. Utilização de máquinas de suporte vetorial para predição de estruturas terciárias de proteínas / Support vector machine for tertiary structure prediction
The three-dimensional structure of a protein is directly related to its function. Many projects of genetic sequence analysis accumulate a great number of protein sequences whose primary and secondary structures are known. However, the information on its three-dimensional structures are available only for a small fraction of these proteins. This fact evidence
Publicado em: 2007
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7. The garden of the illusions / O jardim das ilusões
The Garden of the Illusions tries to map the 33 years of the Theatrical Group "Vira Lata", from Blumenau, Santa Catarina. Obviously, we work, then, with a past, with an immersed memory in reality. However, its in its pure form, in itself, this duration remains virtually. Of this form, we were taken, initially, for a problematically: if our body, even that su
Publicado em: 2005
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8. Image Processing and Analysis for Measuring Ocular Refraction Errors / "Processamento e análise de imagens para medição de vícios de refração ocular"
This work presents a computational system that uses Machine Learning (ML) techniques to assist in ophthalmological diagnosis. The system developed produces objective and automatic measures of ocular refraction errors, namely astigmatism, hypermetropia and myopia from functional images of the human eye acquired with a technique known as Hartmann-Shack (HS), o
Publicado em: 2003