文件名称:svm_java
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- 上传时间:2013-06-26
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文件大小:88.55kb
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支持向量机SVM(Support Vector Machine)作为一种可训练的机器学习方法,依靠小样本学习后的模型参数进行导航星提取,可以得到分布均匀且恒星数量大为减少的导航星表-Support Vector Machine SVM (Support Vector Machine) as a trainable machine learning methods, relying on small samples after learning Navstar extract model parameters can be distributed uniformly and greatly reduced the number of stars the guide star
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下载文件列表
svm_java/
svm_java/Makefile
svm_java/libsvm/
svm_java/libsvm/svm.java
svm_java/libsvm/svm.m4
svm_java/libsvm/svm_model.java
svm_java/libsvm/svm_node.java
svm_java/libsvm/svm_parameter.java
svm_java/libsvm/svm_print_interface.java
svm_java/libsvm/svm_problem.java
svm_java/libsvm.jar
svm_java/svm_predict.java
svm_java/svm_scale.java
svm_java/svm_toy.java
svm_java/svm_train.java
svm_java/test_applet.html
svm_java/Makefile
svm_java/libsvm/
svm_java/libsvm/svm.java
svm_java/libsvm/svm.m4
svm_java/libsvm/svm_model.java
svm_java/libsvm/svm_node.java
svm_java/libsvm/svm_parameter.java
svm_java/libsvm/svm_print_interface.java
svm_java/libsvm/svm_problem.java
svm_java/libsvm.jar
svm_java/svm_predict.java
svm_java/svm_scale.java
svm_java/svm_toy.java
svm_java/svm_train.java
svm_java/test_applet.html
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