decisionTree相关论文
目的:应用决策树模型分析先天性心脏病(先心病)体外循环复温后发生低体温的影响因素，为临床医护人员提供理论依据。方法:采用回顾性......
EIDD-2801 is an orally bioavailable prodrug,which will be applied for emergency use autho-rization from the U.S.Food and......
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With the increasing popularity of the automated fare collection(AFC)system and the automatic vehicle location(AVL)system......
With the development of cloud computing,the prediction of trend is important for managing big data.Machine learning clas......
Level of cognition regarding a principle determines human behavior.Similarly, corporate social responsibility (CSR) requ......
机器学习技术在现代各种数据分析中是备受人们关注的有效方法之一,目前已在众多领域得到广泛应用.于是以目前较为流行的决策树学习......
Decision tree and fuzzy rough set are two distinct but complementary classifiers.Decision tree is a simple and easy-unde......
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As one of the main causes of accidental injury death,falls not only brings a lot of health problems,but also caused huge......
Computer-Aided Diagnosis of Digital Radiographs for Pneumoconiosis Using Wavelet-Based Texture Featu
Purpose: To automatically detect pneumoconiosis using a computer-aided diagnosis (CAD) system on digital chest radiograp......
A Novel Kernel Fisher Discriminant Analysis:Constructing Informative Kernel by Decision Tree Ensembl
Large amounts of data from high-throughput metabolomics experiments become commonly more and more complex,which brings a......
Temporal and Spatial Characteristcs of the Cyanobacterial Bloom in Lake Dianchi Indicated by MODIS-N
Eutrophication and cyanobacterial bloom in lakes is one of the most important environmental problems around the world.Re......
LOGIT TREE MODELS FOR DISCRETE CHOICE DATA WITH APPLICATION TO ADVICE-SEEKING PREFERENCES AMONG CHIN
Logit models are popular tools for analyzing discrete choice and ranking data.The models assume that judges rate each it......
提出了一种新的多尺度像斑模型，充分利用多尺度像斑模型所提供的尺度纵向信息，并结合决策树的分类方法来实现跨尺度分类，而不直接进行......
作为城市主体,建筑物信息的提取一直是国内外学者研究的热点。针对目前机载激光点云数据量大、建筑点云提取不完整等难题,提出一种......
这篇文章分析比较决策分析的两种方法；决策和影响图在表示特性和计算５特性上的区别，并以投标问题说明之，还详细讨论“非对移性“结构与......
以三峡库区秭归至巴东段为研究区,从多源空间数据中提取9个致灾因子作为区域滑坡易发性分析的评价指标,基于Boosting集成学习......
目的收集脑血管病患者人口学、生活模式和临床疾病因素，分析导致血管性认知功能障碍(VCI)的高危因素，建立VCI高危因素的决策树模型。......
目的:运用DRGs分组方法 ,对扬州某院东西两区诊疗组进行医疗绩效服务评价,为今后医院管理工作进行指导.方法:收集扬州某院东西两区......
在机器学习中,随机性是集成学习成功的一个关键因素,可通过旋转特征空间将随机性注入到基于树的集成学习模型中。随机地旋转特征空......
Transformer substations play a major role in power systems.The fault of a transformer substation will jeopardize the saf......
作为制约经济社会发展的主要因素,贫困问题一直受到了世界各国高度重视。我国从提出“精准扶贫”思想,到扶贫开发“贵在精准,重在......
通过对先天性心脏病(CHD)影响因素的分析,建立胎儿CHD危险度预测模型.采用单因素logistic回归分析筛选影响因素后用多因素非条件lo......
针对传统的决策树生成算法之不足，提出了两种改进算法。用实例说明改进处法具有更好的优化效果，且证明了传统算法是改进算法Ⅱ的特例......
将决策树应用于多值逻辑函数的化简，提出了一种新的多值逻辑函数的化简方法，该方法易于编程和上机操作，特别适用于化简多变量的多值逻......
提出了水平井钻井工程设计与施工问题的复杂性及解决办法，给出了水平井钻井工程决策树分析框图，并以一口五段制剖面水平井钻井优化设......
