跳至主導覽
跳至搜尋
跳過主要內容
國立陽明交通大學研發優勢分析平台 首頁
English
中文
首頁
人員
單位
研究成果
計畫
獎項
活動
貴重儀器
影響
按專業知識、姓名或所屬機構搜尋
A novel machine learning strategy for model selections - Stepwise Support Vector Machine (StepSVM)
Chao Yu Guo
*
, Yu Chin Chou
*
此作品的通信作者
公共衛生研究所
研究成果
:
Article
›
同行評審
22
引文 斯高帕斯（Scopus）
總覽
指紋
指紋
深入研究「A novel machine learning strategy for model selections - Stepwise Support Vector Machine (StepSVM)」主題。共同形成了獨特的指紋。
排序方式
重量
按字母排序
Keyphrases
10-fold Cross Validation
12%
Big Data Era
12%
Big Data Learning
12%
C-statistic
12%
Excellent Performance
12%
Health Outcomes
12%
Hierarchical Structure
12%
High-dimensional Data
12%
Logistic Regression Model
12%
Lung Cancer Patients
12%
Machine Learning Strategies
100%
Mean Squared Error
12%
Medical Research
12%
Model Selection
100%
Model Selection Strategy
12%
Novel Machine
100%
Overall Accuracy
12%
Popular
12%
Prediction Accuracy
12%
Simulation Study
12%
Stepwise Logistic Regression
25%
Stepwise Selection
12%
Support Vector Machine
100%
SVM-RFE
12%
Tuning Parameter
12%
Up to Five
12%
Mathematics
Cancer Patient
11%
Cross-Validation
11%
Dimensional Data
11%
Logistic Regression Model
11%
Minimizes
11%
Model Selection
100%
Simulation Study
11%
Squared Error
11%
Stepwise Logistic Regression
22%
Stepwise Selection
11%
Support Vector Machine
100%
Economics, Econometrics and Finance
Learning Strategy
100%
Logit Model
100%
Machine Learning
100%
Psychology
Big Data
33%
Cross-Validation
33%
Model Selection
100%
Regression Model
33%
Agricultural and Biological Sciences
Lung
11%
Support Vector Machine
100%