SMOreg
2017年9月26日 — 支持向量機迴歸SMOreg：支持向量機的迴歸版本，它使用核技法(kernel trick)將非線性呈現的資料轉換成容易區隔的分佈。支持向量機演算法的特色是計算 ... ,Class SMOreg. java.lang.Object extended by weka.classifiers.Classifier extended by weka.classifiers.functions.SMOreg. All Implemented Interfaces: java.lang. ,SMOreg implements the support vector machine for regression. The parameters can be learned using various algorithms. The algorithm is selected by setting ... ,classifier machine learning regression smoreg support vector regression svm weka. Language. Java. Metrics. API Calls - 18 Avg call duration - N/A. ,由 C Li 著作 · 2006 · 被引用 18 次 — [1] are successful in extending some improved ideas to Smola and Scholkopf's SMO algorithm[2] for solving regression problems, simply named SMOreg. ,SMOreg implements the support vector machine for regression. The parameters can be learned using various algorithms. The algorithm is selected by setting ... ,由測試結果表2 可見，利用17 年作為編碼以SMOreg. 可得到0. 9427 之準確度(Correlation Coefficient)。而表3 月作為週期之編碼，其準確度最高為使. ,... 屬於火腿或垃圾郵件的每個測試實例的概率。但是SVM迴歸（weka中的SMOreg）總是灰顯。我嘗試將課程標籤更改爲0和1（0 =垃圾郵件，1 =火腿），仍然沒有運氣。誰能幫忙？
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 SMOreg 相關參考資料
AI能夠告訴你未來？用Weka實作多變項時間序列預測 Time ...
2017年9月26日 — 支持向量機迴歸SMOreg：支持向量機的迴歸版本，它使用核技法(kernel trick)將非線性呈現的資料轉換成容易區隔的分佈。支持向量機演算法的特色是計算 ... http://blog.pulipuli.info SMOreg (Documentation for extended WEKA including ...
Class SMOreg. java.lang.Object extended by weka.classifiers.Classifier extended by weka.classifiers.functions.SMOreg. All Implemented Interfaces: java.lang. https://www.dbs.ifi.lmu.de SMOreg (weka-dev 3.9.5 API)
SMOreg implements the support vector machine for regression. The parameters can be learned using various algorithms. The algorithm is selected by setting ... https://weka.sourceforge.io SMOreg - Algorithm by weka - Algorithmia
classifier machine learning regression smoreg support vector regression svm weka. Language. Java. Metrics. API Calls - 18 Avg call duration - N/A. https://algorithmia.com Using Locally Weighted Learning to Improve SMOreg for ...
由 C Li 著作 · 2006 · 被引用 18 次 — [1] are successful in extending some improved ideas to Smola and Scholkopf's SMO algorithm[2] for solving regression problems, simply named SMOreg. https://link.springer.com weka.classifiers.functions Class SMOreg
SMOreg implements the support vector machine for regression. The parameters can be learned using various algorithms. The algorithm is selected by setting ... https://lost-contact.mit.edu 各類機器學習方法在太陽黑子數目預測上之效能評估胡文品1 ...
由測試結果表2 可見，利用17 年作為編碼以SMOreg. 可得到0. 9427 之準確度(Correlation Coefficient)。而表3 月作為週期之編碼，其準確度最高為使. http://cyc2012.dyu.edu.tw 爲什麼SVM迴歸（SMOreg）在weka中灰顯？ - 優文庫 - 最新問題
... 屬於火腿或垃圾郵件的每個測試實例的概率。但是SVM迴歸（weka中的SMOreg）總是灰顯。我嘗試將課程標籤更改爲0和1（0 =垃圾郵件，1 =火腿），仍然沒有運氣。誰能幫忙？ http://hk.uwenku.com |