VSVMDecisionM
所属分类：人工智能/神经网络/深度学习
开发工具：Visual C++
文件大小：104KB
下载次数：10
上传日期：2012-08-07 20:55:36
上 传 者：
acquires
说明： VM分类器通常具有较高的分类精度。我这里不想过多的去说SVM是怎么回事，，只是提供一种使用SVM进行判别的方法。决策树与SVM的结合，可以分多类。
(VM classifier usually has high classification accuracy. I do not want too much to say that SVM is how, just a SVM is used to discriminate. Combination of decision tree and SVM multi-class.)
文件列表:
VSVMDecisionM\SVM 决策树5\2009416.doc (43520, 2009-04-16)
VSVMDecisionM\SVM 决策树5\classpartition.m (1131, 2009-04-21)
VSVMDecisionM\SVM 决策树5\DecisionTree.asv (4795, 2009-05-21)
VSVMDecisionM\SVM 决策树5\DecisionTree.m (4889, 2009-05-25)
VSVMDecisionM\SVM 决策树5\houhou.doc (19968, 2009-04-14)
VSVMDecisionM\SVM 决策树5\kernel.m (1510, 2007-07-04)
VSVMDecisionM\SVM 决策树5\Main_SVC_C.m (4174, 2009-04-29)
VSVMDecisionM\SVM 决策树5\Preorder.asv (827, 2009-04-29)
VSVMDecisionM\SVM 决策树5\Preordercreate.asv (1857, 2009-05-25)
VSVMDecisionM\SVM 决策树5\Preordercreate.m (1890, 2009-05-25)
VSVMDecisionM\SVM 决策树5\Preordertraverse.asv (872, 2009-04-29)
VSVMDecisionM\SVM 决策树5\Preordertraverse.m (845, 2009-05-13)
VSVMDecisionM\SVM 决策树5\setup.doc (19968, 2009-04-14)
VSVMDecisionM\SVM 决策树5\svc.asv (1104, 2009-04-22)
VSVMDecisionM\SVM 决策树5\svc.m (1164, 2009-04-29)
VSVMDecisionM\SVM 决策树5\svmSim.m (1873, 2009-03-18)
VSVMDecisionM\SVM 决策树5\svmTrain.m (2854, 2009-04-29)
VSVMDecisionM\SVM 决策树5\test.mdb (1409024, 2009-04-30)
VSVMDecisionM\SVM 决策树5\Testdata.m (8536, 2009-04-30)
VSVMDecisionM\SVM 决策树5\tezhengtiqu.asv (8600, 2009-04-08)
VSVMDecisionM\SVM 决策树5\Traningtree.asv (7939, 2009-04-10)
VSVMDecisionM\SVM 决策树5\Traningtree.m (7980, 2009-04-10)
VSVMDecisionM\SVM 决策树5\Tree.asv (3617, 2009-05-19)
VSVMDecisionM\SVM 决策树5\Tree.m (3001, 2009-05-25)
VSVMDecisionM\SVM 决策树5\Tree2.m (1383, 2009-04-14)
VSVMDecisionM\SVM 决策树5\Untitled.m (1325, 2009-04-30)
VSVMDecisionM\SVM 决策树5\先序生成树.txt (1450, 2009-05-21)
VSVMDecisionM\SVM 决策树5 (0, 2009-08-12)
VSVMDecisionM (0, 2012-03-18)
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