首页> 外文OA文献 >Evaluating the Efficiency of Different Regression, Decision Tree, and Bayesian Machine Learning Algorithms in Spatial Piping Erosion Susceptibility Using ALOS/PALSAR Data

【2h】

Evaluating the Efficiency of Different Regression, Decision Tree, and Bayesian Machine Learning Algorithms in Spatial Piping Erosion Susceptibility Using ALOS/PALSAR Data

机译：使用Alos / Palsar数据评估不同回归，决策树和贝叶斯机器学习算法的效率

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
Shahab S. Band; Saeid Janizadeh; Sunil Saha; Kaustuv Mukherjee; Saeid Khosrobeigi Bozchaloei; Artemi Cerdà; Manouchehr Shokri; Amirhosein Mosavi;
展开▼
作者单位

展开▼
年度 2020
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. Comparison of different machine learning and regression methods for estimation and mapping of forest stand attributes using ALOS/PALSAR data in complex Hyrcanian forests [J] . Yazdani Mehrsa, Jouibary Shaban Shataee, Mohammadi Jahangir, Journal of Applied Remote Sensing . 2020,第2期

机译：森林站点估计和绘图估计的不同机器学习与回归方法，在复杂的Hyclanian森林中使用Alos / Palsar数据进行估计和映射
2. Novel ensembles of COPRAS multi-criteria decision-making with logistic regression, boosted regression tree, and random forest for spatial prediction of gully erosion susceptibility [J] . Arabameri Alireza, Yamani Mojtaba, Pradhan Biswajeet, The Science of the Total Environment . 2019,第Octa20期

机译：具有Logistic回归，增强回归树和随机森林的COPRAS多准则决策新颖合奏，用于空间侵蚀敏感性的空间预测
3. Novel ensembles of COPRAS multi-criteria decision-making with logistic regression, boosted regression tree, and random forest for spatial prediction of gully erosion susceptibility [J] . Arabameri Alireza, Yamani Mojtaba, Pradhan Biswajeet, The Science of the Total Environment . 2019,第OCTa20期

机译：具有Logistic回归，增强回归树和随机森林的COPRAS多准则决策新颖合奏，用于空间侵蚀敏感性的空间预测
4. MAPPING OF FOREST COVER EXTENT AND CHANGE IN THE PHILIPPINES USING DECISION TREE CLASSIFICATION ON ALOS-1/2 PALSAR-1/2 MOSAIC DATA [C] . Man Trix Eslomata, Dr. Klaus Schmitt Asian conference on remote sensing . 2019

机译：基于ALOS-1 / 2 PALSAR-1 / 2卫星数据的决策树分类法对菲律宾的森林覆盖率和变化进行映射
5. Decision tree-based machine learning algorithm for in-node vehicle classification [D] . Trivedi, Ankit P. 2016

机译：基于决策树的节点内车辆分类机器学习算法
6. Comparison of the Tree-Based Machine Learning Algorithms to Cox Regression in Predicting the Survival of Oral and Pharyngeal Cancers: Analyses Based on SEER Database [O] . Mi Du, Dandara G. Haag, John W. Lynch, 2020

机译：基于树的机器学习算法与Cox回归预测中口腔和咽癌存活的比较：基于SEER数据库分析
7. Novel Ensemble of Multivariate Adaptive Regression Spline with Spatial Logistic Regression and Boosted Regression Tree for Gully Erosion Susceptibility [O] . Paramita Roy, Subodh Chandra Pal, Alireza Arabameri, 2020

机译：多变量自适应回归花序与空间逻辑回归和沟壑腐蚀易感性的增强回归树集合

Evaluating the Efficiency of Different Regression, Decision Tree, and Bayesian Machine Learning Algorithms in Spatial Piping Erosion Susceptibility Using ALOS/PALSAR Data

著录项

引文网络

相似文献

相关主题

期刊订阅