SMOreg
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 ...
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Weka(懷卡托環境知識分析)是一個流行的 Java 機器學習軟件套件。 Weka 是數據挖掘任務的機器學習算法的集合。這些算法可以直接應用到數據集中,也可以從您自己的 Java 代碼中調用.8999923 選擇版本:Weka 3.9.2(32 位)Weka 3.9.2(64 位) Weka 軟體介紹
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 |