首页> 外文OA文献 >Sex estimation: a comparison of techniques based on binary logistic, probit and cumulative probit regression, linear and quadratic discriminant analysis, neural networks, and naïve Bayes classification using ordinal variables

【2h】

Sex estimation: a comparison of techniques based on binary logistic, probit and cumulative probit regression, linear and quadratic discriminant analysis, neural networks, and naïve Bayes classification using ordinal variables

机译：性估计：基于二元逻辑，概率和累积概率回归，线性和二次判别分析，神经网络和Naïve贝叶斯使用序数变量进行比较

代理获取

本网站仅为用户提供外文OA文献查询和代理获取服务，本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文，但由于OA文献来源多样且变更频繁，仍可能出现获取不到、文献不完整或与标题不符等情况，如果获取不到我们将提供退款服务。请知悉。

页面导航

著录项
引文网络
相似文献
相关主题

著录项

作者
Efthymia Nikita; Panos Nikitas;
展开▼
作者单位

展开▼
年度 2019
总页数
原文格式 PDF
正文语种
中图分类

相似文献

外文文献
中文文献
专利

1. Sex estimation: a comparison of techniques based on binary logistic, probit and cumulative probit regression, linear and quadratic discriminant analysis, neural networks, and naive Bayes classification using ordinal variables [J] . International journal of legal medicine . 2020,第3期

机译：性别估计：基于二元逻辑，概率和累积概率回归，线性和二次判别分析，神经网络和幼稚贝叶斯使用序数变量进行的技术比较
2. Data mining methods in the prediction of Dementia: A real-data comparison of the accuracy, sensitivity and specificity of linear discriminant analysis, logistic regression, neural networks, support vector machines, classification trees and random forests [J] . Jo?o Maroco, Dina Silva, Ana Rodrigues, BMC research notes . 2011,第1期

机译：痴呆症预测中的数据挖掘方法：线性判别分析，逻辑回归，神经网络，支持向量机，分类树和随机森林的准确性，敏感性和特异性的真实数据比较
3. Loss of power in logistic, ordinal logistic, and probit regression when an outcome variable is coarsely categorized [J] . Taylor AB, West SG, Aiken LS Educational and Psychological Measurement . 2006,第2期

机译：当对结果变量进行粗略分类时，逻辑，序数逻辑和概率回归中的动力丧失
4. A comparative study of ordinal probit and logistic regression for affective product design [C] . HE Zhen, WU Du International Conference on Management, Manufacturing and Materials Engineering . 2012

机译：对情感产品设计的序数探测和逻辑回归的比较研究
5. Data mining techniques in education: A comparison of conventional statistical linear regression and neural-network-based tools. [D] . Thigpen, Michele K. 2000

机译：教育中的数据挖掘技术：传统统计线性回归和基于神经网络的工具的比较。
6. Data mining methods in the prediction of Dementia: A real-data comparison of the accuracy sensitivity and specificity of linear discriminant analysis logistic regression neural networks support vector machines classification trees and random forests [O] . João Maroco, Dina Silva, Ana Rodrigues, 2011

机译：痴呆症预测中的数据挖掘方法：线性判别分析逻辑回归神经网络支持向量机分类树和随机森林的准确性敏感性和特异性的真实数据比较
7. Data mining methods in the prediction of dementia: A real-data comparison of the accuracy, sensitivity and specificity of linear discriminant analysis, logistic regression, neural networks, support vector machines, classification trees and random forests [O] . Maroco, João, Silva, Dina, Rodrigues, Ana, 2011

机译：痴呆症预测中的数据挖掘方法：线性判别分析，逻辑回归，神经网络，支持向量机，分类树和随机森林的准确性，敏感性和特异性的真实数据比较

Sex estimation: a comparison of techniques based on binary logistic, probit and cumulative probit regression, linear and quadratic discriminant analysis, neural networks, and naïve Bayes classification using ordinal variables

著录项

引文网络

相似文献

相关主题

期刊订阅