代码搜索：classifier

找到约 4,824 项符合「classifier」的源代码

代码结果 4,824
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www.eeworm.com/read/414826/2141793

tcl wacky.tcl

source cmu/mobile_node.tcl source cmu/dsdvnode.tcl Trace set show_tcphdr_ 1 LL set delay_ 5us Agent/TCP set packetSize_ 1460 NetHold set offset_ [Classifier set offset_] NetHold set shift_ [Classi
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www.eeworm.com/read/405279/2293972

tcl super.tcl

source cmu/mobile_node.tcl source cmu/dsdvnode.tcl Trace set show_tcphdr_ 1 LL set delay_ 5us Agent/TCP set packetSize_ 1460 NetHold set offset_ [Classifier set offset_] NetHold set shift_ [Classi
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www.eeworm.com/read/405279/2293973

tcl abc.tcl

source cmu/mobile_node.tcl source cmu/dsdvnode.tcl Trace set show_tcphdr_ 1 LL set delay_ 5us Agent/TCP set packetSize_ 1460 NetHold set offset_ [Classifier set offset_] NetHold set shift_ [Classi
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www.eeworm.com/read/405279/2293977

tcl ultra.tcl

source cmu/mobile_node.tcl source cmu/dsdvnode.tcl Trace set show_tcphdr_ 1 LL set delay_ 5us Agent/TCP set packetSize_ 1460 NetHold set offset_ [Classifier set offset_] NetHold set shift_ [Classi
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www.eeworm.com/read/405279/2293979

tcl wacky.tcl

source cmu/mobile_node.tcl source cmu/dsdvnode.tcl Trace set show_tcphdr_ 1 LL set delay_ 5us Agent/TCP set packetSize_ 1460 NetHold set offset_ [Classifier set offset_] NetHold set shift_ [Classi
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www.eeworm.com/read/373460/2761813

m knnclass.m

% KNNCLASS k-Nearest Neighbours classifier. % [tst_labels] = knnclass(tst_data,trn_data,trn_labels, k) % % Input: % tst_data [dim x n_tst] data to be classified. % trn_data [dim x n_trn] training da
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www.eeworm.com/read/373460/2761895

m m2osmo.m

function [model]=m2osmo( data, labels, ker, arg, C, eps, tol) % M2OSMO One-Against-All multiclass SVM classifier using M-2-O % transform and SMO. % [model]=m2osmo( data, labels, ker, arg, C, eps, to
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www.eeworm.com/read/373460/2761929

m m2osor.m

function [model]=m2osor( data, labels, ker, arg, C, eps) % M2OSOR One-Against-All multiclass SVM classifier using M-2-O % transform and SOR. % [model]=m2osor( data, labels, ker, arg, C, eps) % % It
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www.eeworm.com/read/367442/9747782

m knnclass.m

% KNNCLASS k-Nearest Neighbours classifier. % [tst_labels] = knnclass(tst_data,trn_data,trn_labels, k) % % Input: % tst_data [dim x n_tst] data to be classified. % trn_data [dim x n_trn] training da
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www.eeworm.com/read/429878/8784188

htm knn.htm

Netlab Reference Manual knn knn Purpose Creates a K-nearest-neighbour classifier. Synopsis net = knn(nin, nout
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