نتایج جستجو برای: classification and regression tree
تعداد نتایج: 16908469 فیلتر نتایج به سال:
Background and Aim: Neonatal jaundice is a matter that is very important for clinicians all over the world because this disease is one of the most common cases that requires clinical care. The aim of this study is to use data classification algorithms to predict the type of jaundice in neonates, and therefore, to prevent irreparable damages in future. Materials and Methods: This is a descripti...
the present research has been deducted from a provincial research project which aims at determining the relationship of variables of variables of occupational self-concept, intelligence beliefs and metacognitive with entrepreneurship among the students of payame noor university of kurdistan. the volume of the samples was 1080 students (576 female and 504 male students). the research methodology...
Dynamic regression trees are an attractive option for automatic regression and classification with complicated response surfaces in on-line application settings. We create a sequential tree model whose state changes in time with the accumulation of new data, and provide particle learning algorithms that allow for the efficient on-line posterior filtering of tree-states. A major advantage of tre...
Few studies have focused on estimating the relative effects of risk factors on IT project performance This paper discusses three predictive modeling techniques, regression, neural networks and classification trees, that could be used for such an estimate. A comparison suggests that classification tree techniques may provide more effective estimates than other techniques. A data set (n=227) with...
acquisition field reference data using conventional methods due to limited and time-consuming data from a single tree in recent years, to generate reference data for forest studies using terrestrial laser scanner data, aerial laser scanner data, radar and Optics has become commonplace, and complete, accurate 3D data from a single tree or reference trees can be recorded. The detection and identi...
The extraction and selection of acoustic features are crucial steps in the development of a system for classifying emotions in speech. Most works in the field use some kind of prosodic features, often in combination with spectral and glottal features, and select appropriate features in classifying emotions. In the methods, feature choices are mostly made regardless of existing relationships and...
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