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![]() | CHAPTER 6 THE HINGE OF HISTORY: ASSESSING YOUR TEAMNET POTENTIAL REINVENTING GOVERNMENT WITH NET RESULTSDocID: 1vgnR - View Document |
![]() | Cabinet Hinge Adjustments March 2013DocID: 1vagW - View Document |
![]() | Multiclass Boosting with Hinge Loss based on Output Coding Tianshi Gao Electrical Engineering Department, Stanford, CAUSA Daphne Koller Computer Science Department, Stanford, CAUSADocID: 1uWCf - View Document |
![]() | Robust Truncated Hinge Loss Support Vector Machines Yichao W U and Yufeng L IU The support vector machine (SVM) has been widely applied for classification problems in both machine learning and statistics. Despite its popDocID: 1uuGd - View Document |
![]() | I FLEXI-HINGE MATERIAL: RDocID: 1utMy - View Document |