نتایج جستجو برای: derived from regression tree

تعداد نتایج: 5991938  

ژورنال: دانشور پزشکی 2012
باقری, جمشید , زایری, فرید , صادقی‌نژاد, ریحانه , غضنفری, الهه , نورکجوری, هدی ,

 Background and Objective: Coronary artery disease is one of the most prevalent causes of death. A coronary artery bypass surgery is a common treatment for this disease. In addition, renal dysfunction can lead to increased mortality and post-operative complications. This study aimed to identify the most important factors influencing the mortality of patients who suffer from coronary ar...

ABSTRACT: Quantitative structure-activity relationship (QSAR) study on the piperidone-grafted mono- and bis-spirooxindole-hexahydropyrrolizines as potent butyrylcholinestrase (BuChE) inhibitors were carried out using statistical methods, molecular dynamics and molecular docking simulation. QSAR methodologies, including classification and regression tree (CART), multiple linear regression (MLR),...

Journal: :Expert Syst. Appl. 2007
Handan Camdeviren Ankarali Ayse Canan Yazici Zeki Akkus Resul Bugdayci Mehmet Ali Sungur

In this study, it is aimed that comparing logistic regression model with classification tree method in determining social-demographic risk factors which have effected depression status of 1447 women in separate postpartum periods. In determination of risk factors, data obtained from prevalence study of postpartum depression were used. Cut-off value of postpartum depression scores that calculate...

Journal: :Pattern Recognition 2012
Servane Gey

Non asymptotic risk bounds for Classification And Regression Trees (CART) classifiers are obtained in the binary supervised classification framework under a margin assumption on the joint distribution of the covariates and the labels. These risk bounds are derived conditionally on the construction of the maximal binary tree and allow to prove that the linear penalty used in the CART pruning alg...

2008
G. Chen G. J. Hay G. Castilla

Canopy surface height (CSH) is a significant forest biophysical parameter to estimate above-ground biomass and carbon content. Highspatial resolution optical remotely sensed data have shown promising results to delineate various forest biophysical properties; though few studies have evaluated the accuracy of forest height information from such data. In this study, we compare several strategies ...

2013
Hui Liang John Dines

HMM state mapping with the Kullback-Leibler divergence as a distribution similarity measure is a simple and effective technique that enables cross-lingual speaker adaptation for speech synthesis. However, since this technique does not take any other potentially useful information into account for mapping construction, an approach involving phonological knowledge in a data-driven manner is propo...

2007
L. T. Waser H. Eisenbeiss C. Ginzler A. Gruen

The objective of this paper is to present an approach for assessing tree growth and shrub encroachment between 1997 and 2002 in open mire land using CIR-aerial images, DSMs and LiDAR data. The study area is located in the Pre-alpine zone of Central Switzerland. The present study was carried out in the framework of the Swiss Mire Protection Program, where changes of forest area are a key issue. ...

Run off resulted from rainfall is the main way of receiving water in most parts of the World. Therefore, prediction of runoff volume resulted from rainfall is getting more and more important in control, harvesting and management of surface water. In this research a number of machine learning and data mining methods including support vector machines, regression trees (CART algorithm), model tree...

According to the forensic statistics, in Iran, 26 percent of those killed in traffic accidents are motorcyclists in recent years. Thus, it is necessary to investigate the causes of motorcycle accidents because of the high number of motorcyclist casualties. Motorcyclists' dangerous behaviors are among the causes of events that are discussed in this study. Traffic signs have the important role of...

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