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libsvm-3.23

于 2021-01-11 发布 文件大小:850KB
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下载积分: 1 下载次数: 13
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代码说明：

  libsvm的安装，配置，以及用libsvm完例成的一个小实(The installation, configuration, and use of libsvm as a small implementation)

文件列表：

libsvm-3.23, 0 , 2018-07-15
libsvm-3.23\svm.def, 477 , 2018-07-15
libsvm-3.23\svm.cpp, 65036 , 2018-07-15
libsvm-3.23\tools, 0 , 2018-07-15
libsvm-3.23\tools\subset.py, 3196 , 2018-07-15
libsvm-3.23\tools\checkdata.py, 2474 , 2018-07-15
libsvm-3.23\tools\README, 7031 , 2018-07-15
libsvm-3.23\tools\grid.py, 15258 , 2018-07-15
libsvm-3.23\tools\easy.py, 2696 , 2018-07-15
libsvm-3.23\svm-predict.c, 5537 , 2018-07-15
libsvm-3.23\FAQ.html, 83238 , 2018-07-15
libsvm-3.23\README, 28756 , 2018-07-15
libsvm-3.23\heart_scale, 27670 , 2018-07-15
libsvm-3.23\matlab, 0 , 2018-07-15
libsvm-3.23\matlab\make.m, 888 , 2018-07-15
libsvm-3.23\matlab\README, 9815 , 2018-07-15
libsvm-3.23\matlab\Makefile, 1240 , 2018-07-15
libsvm-3.23\matlab\svmtrain.c, 11817 , 2018-07-15
libsvm-3.23\matlab\libsvmwrite.c, 2326 , 2018-07-15
libsvm-3.23\matlab\svm_model_matlab.h, 201 , 2018-07-15
libsvm-3.23\matlab\svmpredict.c, 9818 , 2018-07-15
libsvm-3.23\matlab\libsvmread.c, 4060 , 2018-07-15
libsvm-3.23\matlab\svm_model_matlab.c, 8196 , 2018-07-15
libsvm-3.23\Makefile, 732 , 2018-07-15
libsvm-3.23\python, 0 , 2018-07-15
libsvm-3.23\python\README, 15822 , 2018-07-15
libsvm-3.23\python\svmutil.py, 9395 , 2018-07-15
libsvm-3.23\python\svm.py, 13631 , 2018-07-15
libsvm-3.23\python\Makefile, 32 , 2018-07-15
libsvm-3.23\python\commonutil.py, 5121 , 2018-07-15
libsvm-3.23\svm.h, 3381 , 2018-07-15
libsvm-3.23\COPYRIGHT, 1497 , 2018-07-15
libsvm-3.23\svm-toy, 0 , 2018-07-15
libsvm-3.23\svm-toy\qt, 0 , 2018-07-15
libsvm-3.23\svm-toy\qt\svm-toy.cpp, 9722 , 2018-07-15
libsvm-3.23\svm-toy\qt\Makefile, 613 , 2018-07-15
libsvm-3.23\svm-toy\windows, 0 , 2018-07-15
libsvm-3.23\svm-toy\windows\svm-toy.cpp, 11460 , 2018-07-15
libsvm-3.23\svm-scale.c, 8696 , 2018-07-15
libsvm-3.23\svm-train.c, 8985 , 2018-07-15
libsvm-3.23\windows, 0 , 2018-07-15
libsvm-3.23\windows\libsvmwrite.mexw64, 13312 , 2018-07-15
libsvm-3.23\windows\svm-toy.exe, 226816 , 2018-07-15
libsvm-3.23\windows\svmpredict.mexw64, 28160 , 2018-07-15
libsvm-3.23\windows\svmtrain.mexw64, 68608 , 2018-07-15
libsvm-3.23\windows\svm-scale.exe, 165376 , 2018-07-15
libsvm-3.23\windows\libsvm.dll, 258048 , 2018-07-15
libsvm-3.23\windows\svm-predict.exe, 211968 , 2018-07-15
libsvm-3.23\windows\libsvmread.mexw64, 14336 , 2018-07-15
libsvm-3.23\windows\svm-train.exe, 247808 , 2018-07-15
libsvm-3.23\Makefile.win, 1135 , 2018-07-15
libsvm-3.23\java, 0 , 2018-07-15
libsvm-3.23\java\libsvm, 0 , 2018-07-15
libsvm-3.23\java\libsvm\svm_print_interface.java, 87 , 2018-07-15
libsvm-3.23\java\libsvm\svm_node.java, 115 , 2018-07-15
libsvm-3.23\java\libsvm\svm.m4, 63281 , 2018-07-15
libsvm-3.23\java\libsvm\svm_model.java, 868 , 2018-07-15
libsvm-3.23\java\libsvm\svm.java, 64084 , 2018-07-15
libsvm-3.23\java\libsvm\svm_problem.java, 136 , 2018-07-15
libsvm-3.23\java\libsvm\svm_parameter.java, 1285 , 2018-07-15
libsvm-3.23\java\svm_toy.java, 12262 , 2018-07-15
libsvm-3.23\java\Makefile, 659 , 2018-07-15
libsvm-3.23\java\test_applet.html, 81 , 2018-07-15
libsvm-3.23\java\svm_scale.java, 8937 , 2018-07-15
libsvm-3.23\java\svm_predict.java, 4945 , 2018-07-15
libsvm-3.23\java\svm_train.java, 8354 , 2018-07-15
libsvm-3.23\java\libsvm.jar, 55181 , 2018-07-15

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0 个回复

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    ) Compression using huffman code -with a number of bits k per code word -provide huffman table Huffman coding is optimal for a symbol-by-symbol coding with a known input probability distribution.This technique uses a variable-length code table for encoding a source symbol. The table is derived in a particular way based on the estimated probability of occurrence for each possible value of the source symbol .Huffman coding uses a specific method for representing each symbol, resulting in a prefix code that expresses the most common characters using shorter strings of bits than those used for less common source symbols.The Huffman coding is a procedure to generate a binary code tree. () Compression using huffman code -with a number of bits k per code word -provide huffman table Huffman coding is optimal for a symbol-by-symbol coding with a known input probability distribution.This technique uses a variable-length code table for encoding a source symbol. The table is derived in a particular way based on the estimated probability of occurrence for each possible value of the source symbol .Huffman coding uses a specific method for representing each symbol, resulting in a prefix code that expresses the most common characters using shorter strings of bits than those used for less common source symbols.The Huffman coding is a procedure to generate a binary code tree. )
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