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29.079  Articles
1 of 2.909 pages  |  10  records  |  more records»
With the continuous accumulation of biological data, more and more machine learning algorithms have been introduced into the field of gene function prediction, which has great significance in decoding the secret of life. Recently, a multi-label supervised... see more

Motorcycle riders and passengers are much more likely to be killed or severely injured in a crash, and on average about 15% of all traffic fatalities include motorcyclists. Between 2008 and 2019, the average motorcycle crash frequency in Wyoming was 286 c... see more

This paper describes the application of multinomial logit regression to the discrimination of three groups of coast.al sediments at Drigg, Cumbria, UK. Moment measures of particle size were obtained for 150 sand samples taken from the present-day beach, e... see more

In this paper we present a multinomial logistic regression model for authorship identification in the Albanian language texts. In the model fitted the dependent variable is categorical which takes different values from 1 to 10 for each of the author and t... see more

Automatic speech recognition (ASR) has recorded enormous development in both research and implementation such as voice commands to control electronic appliances, video games, interface to voice dictation, assistive leaving for the elderly, and dialogue sy... see more

This study aims to identify an application of Multinomial Logistic Regression model which is one of the important methods for categorical data analysis. This model deals with one nominal/ordinal response variable that has more than two categories, whether... see more

The Indonesian authorities have echoed that Porang can be an opportunity for meals in the future. Currently, diverse applications are designed through the rules to help the improvement of Porang cultivation and industry. Although in truth, Indonesian huma... see more

Over the past year, a significant amount of research has explored the logistic regression models foranalyzing correlated categorical data. In these models, it is assumed that the data occur in clusters,where individuals within each cluster are correlated,... see more

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