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一類支持向量機,one-class SVM
1)one-class SVM一類支持向量機
1.In order to reduce the complexity of computation and improve the generalization of two binary-class support vector machines in images steganalysis,this paper brings forward a steganalysis method based on genetic algorithms and multiple one-class SVM.提出一種基于遺傳算法和多超球面一類支持向量機的隱秘圖像檢測方案。
2.This paper brings forward a new blind detection algorithm of real-world stego images based on One-class SVM classification,this algorithm uses high-order wavelet packets statistics feature,only trains normal images to establish classification.針對二類支持向量機分類器在圖像密寫分析應用中訓練步驟復雜與推廣性弱的缺點,提出了基于一類支持向量機分類器的真彩隱秘圖像盲檢測算法,算法選用小波包高階統計特征,僅對正常圖像訓練建立分類器。
3.A method of fault-diagnoses for sensor based on one-class SVM is put forward,which transforms the time-series data from sensor into vector by means of the technology about reproduction in phase-space,and trains normal-action model with one-class SVM and implements fault-diagnoses by finding abnormity data.提出了一種基于一類支持向量機的傳感器故障診斷方法,它利用相空間重構技術將傳感器本身獲取的相關時序數據轉化成矢量,再用一類支持向量機來訓練正常行為模型,進而通過發現數據異常來進行故障診斷。
英文短句/例句

1.Mechanism and implementation of one class support vector machines in fast foreign real-time recognition異物在線識別中一類支持向量機機理及實現
2.Self-Adaptive Alarm Method for Equipment Condition Based on One-Class Support Vector Machine一類支持向量機的設備狀態自適應報警方法
3.Recursive training algorithm for one-class support vector machine based on active set method基于作用集的一類支持向量機遞推式訓練算法
4.Improved Multiclass Classification Methods for Support Vector Machine一種改進的支持向量機多類分類方法
5.An Improved Support Vector Machine Based on Binary Tree一種新的二叉樹多類支持向量機算法
6.A MULTI-CLASS CLASSIFIER BASED ON SVM DECISION TREE一種基于支持向量機決策樹多類分類器
7.Reinforcement support vector machine for multiclass classification一種處理多類分類問題的強化支持向量機方法
8.An Improved SVM Multiclass Classification Algorithm Based on DAG一種改進的有向無環圖支持向量機分類算法
9.Support Vector Machines Classifier Based on Margin Vectors;基于邊界向量樣本的支持向量分類機
10.A New Method of Web Mining Based on Support Vector Machines and Clustering一種基于支持向量機和聚類的Web挖掘新方法
11.Improved polynomial SVM classifier for text categorization一種改進的多項式核支持向量機文本分類器
12.An Improved SVM Algorithm for Chinese Text Classification一種改進的支持向量機的文本分類算法
13.Polynomial Smooth Classification Algorithm of Semi-supervised Support Vector Machines一種多項式光滑的半監督支持向量機分類算法
14.Filtering e-mail based on improved One-class Support Vector Machine改進的一分類支持向量機的郵件過濾研究
15.Multi-class support vector machine for fault diagnosis一種基于多類支持向量機的故障診斷算法
16.Improved Fuzzy Support Vector Machine Based on Density Clustering一種改進的基于密度聚類模糊支持向量機
17.Novel one-vs-rest classifier based on SVM and multi-spheres基于支持向量機和多球體的一對多分類器
18.Study on Text Classification Based on Multi-class Support Vector Machines;基于多類支持向量機的文本分類研究
相關短句/例句

1-SVM一類支持向量機
1.Improved kernel method for clustering based on fuzzy 1-SVM;基于模糊一類支持向量機的核聚類算法
2.By training one-class SVM(1-SVM) on the samples class by class,a classifier composed of multiple spheres was obtained.為了提高支持向量機(SVM)多分類器的訓練效率,將多球體思想引入有指導學習,對訓練樣本按類別分別進行一類支持向量機(1-SVM)訓練得到多球體分類器。
3)one-class support vector machine一類支持向量機
1.Application of one-class support vector machine in tobacco leaves selection;一類支持向量機在煙葉選擇中的應用
2.It extracted useful visual features and used one-class support vector machine to identify and filter spam.它提取出有用的形象特征并使用一類支持向量機來過濾垃圾郵件。
3.To improve the adaptability and effectiveness of recognition on abnormal condition,a self-adaptive alarm method for equipment condition based on one-class support vector machine (OC-SVM) is proposed.為了提高對異常狀態識別的適應性和有效性,提出了一種基于一類支持向量機的設備狀態自適應報警方法。
4)OC-SVM一類支持向量機
1.The strategy using the combination of OC-SVM and MC-SVM as the classifier in the approach provide an effective approach for the classification of images out of training models and system\'s expansibility.采用OC-SVM(一類支持向量機)和MC-SVM(多類支持向量機)聯合的策略進行圖像來源分類,有效地解決了對未知模型圖像來源的鑒別問題以及可擴展性差的問題。
5)Hypersphere One-class Support Vector Machines一類超球面支持向量機
1.Aim at limited samples learning and hard sampling of foreign body because of its complexity and variety, Hypersphere One-class Support Vector Machines was pres深入研究了支持向量機原理,針對物料樣本有限和異物樣本復雜多樣難以采集的現象,提出了一類超球面支持向量機異物識別算法;提出了D-QDPSO優化算法,進行OC-SCM的求解,減小了誤識率。
6)fuzzy one-class support vector machine模糊一類支持向量機
延伸閱讀

支持向量機方法支持向量機(SVM)是90年代中期發展起來的基于統計學習理論的一種機器學習方法,通過尋求結構化風險最小來提高學習機泛化能力,實現經驗風險和置信范圍的最小化,從而達到在統計樣本量較少的情況下,亦能獲得良好統計規律的目的。支持向量機算法是一個凸二次優化問題,能夠保證找到的極值解就是全局最優解,是神經網絡領域域取得的一項重大突破。與神經網絡相比,它的優點是訓練算法中不存在局部極小值問題,可以自動設計模型復雜度(例如隱層節點數),不存在維數災難問題,泛化能力強。
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