(supportvectormachineclassification%softmargin%uses"kernel.m"%%xtrain:(Ltrain,N)withLtrain:numberofpointsN:%ytraindimension:(Ltrain.1)containingclasslabels(-1or1)%xrun:(Lrun,N)withLrun:numberofpointsN:%atraindimension:alphacoefficients(fromsvcm_trainonxtrainandytrain)%btrain:offestcoefficient(fromsvcm_trainonxtrainandytrain)%%ypred:predictedy(Lrun.1)containingclasslabels(-1or1)%margin:(signed)separationfromtheseparatinghyperplane(Lrun,1) - IMDN开发者社群-imdn.cn">

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svcm_run

于 2007-03-03 发布文件大小:1KB

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support vector classification machine ％ soft margin ％ uses "kernel.m" ％％ xtrain: (Ltrain,N) with Ltrain: number of points N: dimension ％ ytrain: (Ltrain,1) containing class labels (-1 or +1) ％ xrun: (Lrun,N) with Lrun: number of points N: dimension ％ atrain: alpha coefficients (from svcm_train on xtrain and ytrain) ％ btrain: offest coefficient (from svcm_train on xtrain and ytrain) ％％ ypred: predicted y (Lrun,1) containing class labels (-1 or +1) ％ margin: (signed) separation from the separating hyperplane (Lrun,1(support vector machine classification% s oft margin% uses "kernel.m"%% xtrain : (Ltrain, N) with Ltrain : number of points N : % ytrain dimension : (Ltrain. 1) containing class labels (-1 or 1)% xrun : (Lrun, N) with Lrun : number of points N : % atrain dimension : alpha coefficients (from svcm_train on xtrain and ytrain)% btrain : offest coefficient (from svcm_train on xtrain and ytrain)%% ypred : predicted y (Lrun. 1) containing class labels (-1 or 1)% margin : (signed) separation from the separating hyper plane (Lrun, 1)

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