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66.381  Articles
1 of 6.639 pages  |  10  records  |  more records»
In the machine learning field, high-dimensional data are often encountered in the real applications. Most of the traditional learning algorithms are based on the vector space model, such as SVM. Tensor representation is useful to the over fitting problem ... see more

This article is derived from a research project in which an application for the prediction of ingredients and recipes by TensorFlow and support- vector machines was developed. A scheme with general architecture was developed, then a neural network was imp... see more

Recently, deep learning approach has been used widely in order to enhance the recognition accuracy with different application areas. In this paper, both of deep convolutional neural networks (CNN) and support vector machines approach were employed in huma... see more

A topic of interest in demographic and biostatistical analysis as well as in actuarial practice,is the graduation of the age-specific mortality pattern. A classical graduation technique is to fit parametric models. Recently, particular emphasis has been g... see more

The definition, diagnosis and classification of Diabetes Mellitus and its complications are very important. First of all, the World Health Organization (WHO) and other societies, as well as scientists have done lots of studies regarding this subject. One ... see more

Recently, deep learning approach has been used widely in order to enhance the recognition accuracy with different application areas. In this paper, both of deep convolutional neural networks (CNN) and support vector machines approach were employed in huma... see more

Many kinds of classification method are able to diagnose a patient who suffered Hepatitis disease. One of classification methods that can be used was Least Squares Support Vector Machines (LSSVM). There are two parameters that very influence to improve th... see more

BACKGROUND: The aim of this study is to present an objective method based on support vector machines (SVMs) and gravitational search algorithm (GSA) which is initially utilized for recognition the pattern among risk factors and hypertension (HTN) to strat... see more

Neste estudo é investigado o desempenho do classificador Support Vector Machines (SVM) na classificação de imagens em alta dimensionalidade. Como SVM opera em um par de classes a cada vez, propõe-se aqui a sua implementação em uma estrutura em forma de ár... see more

1 of 6.639 pages  |  10  records  |  more records»