نتایج جستجو برای: ensemble of decision tree
تعداد نتایج: 21209322 فیلتر نتایج به سال:
This paper investigates the effect of diversity caused by Negative Correlation Learning(NCL) in the combination of neural classifiers and presents an efficient way to improve combining performance. Decision Templates and Averaging, as two non-trainable combining methods and Stacked Generalization as a trainable combiner are investigated in our experiments . Utilizing NCL for diversifying the ba...
The bootstrap aggregating procedure at the core of ensemble tree classifiers reduces, in most cases, the variance of such models while offering good generalization capabilities. The average predictive performance of those ensembles is known to improve up to a certain point while increasing the ensemble size. The present work studies this convergence in contrast to the stability of the class pre...
Ensemble methods combine a set of classifiers to construct a new classifier that is (often) more accurate than any of its component classifiers. In this paper, we use ensemble methods to identify noisy training examples. More precisely, we consider the problem of mislabeled training examples in classification tasks, and address this problem by pre-processing the training set, i.e. by identifyin...
In Natural Language Processing (NLP) studies, developing resources and tools makes a contribution to extension and effectiveness of researches in each language. In recent years, Arabic Named Entity Recognition (ANER) has been considered by NLP researchers due to a significant impact on improving other NLP tasks such as Machine translation, Information retrieval, question answering, query result...
Adequate knowledge about suitable habitats for wildlife is essential to prevent habitat destruction and extinction of species and for their conservation and management. The Eurasian lynx is one of the mostly distributed cats in Asia. In this study, we applied an ensemble habitat suitability modeling approach, using ten predictor variables to model Eurasian Lynx’s habitat suitability in Saveh Za...
results of damage prediction in buildings can be used as a useful tool for managing and decreasing seismic risk of earthquakes. in this study, damage spectrum and c4.5 decision tree algorithm were utilized for damage prediction in steel buildings during earthquakes. in order to prepare the damage spectrum, steel buildings were modeled as a single-degree-of-freedom (sdof) system and time-history...
The prediction of liquefaction potential of soil due to an earthquake is an essential task in Civil Engineering. The decision tree is a tree structure consisting of internal and terminal nodes which process the data to ultimately yield a classification. C4.5 is a known algorithm widely used to design decision trees. In this algorithm, a pruning process is carried out to solve the problem of the...
Introduction: Early detection of osteoporosis is a key to preventing of it; but recognition, without the use of appropriate diagnostic methods, due to the complexity of risk factors and gradual bone loss process, is problem. The purpose of this study is to develop and efficiency evaluation a predictive model of osteoporosis using decision tree technique as a diagnostic method based on available...
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