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SVMstruct is a Support Vector Machine (SVM) algorithm for predicting multivariate or structured outputs. It performs supervised learning by approximating a mapping
h: X --> Y
using labeled training examples (x1,y1), ..., (xn,yn). Unlike regula
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留一模型选择法leave-one-out model selection，适合支持向量机分类和回归时进行参数选择。-looms uses a slightly modified
BSVM to perform model selection on binary classification problems.
Currently the RBF kernel is supported.
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词法分析程序，keyword作为关键字token_pl作为存储分析结果的表，表里有种别码。先输入一句子，放在line的缓冲里，然后用getchar联词，只到去完为止，应用相关的状态转换分析，对输入的字符进行相关的分类及编码，然后输出相应的二元分析室便于进行下一步分析。-Lexical analysis, keyword keyword token_pl as the results of the analysis as a storage table, do not have a code ta
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1下载：
SVMstruct is a Support Vector Machine (SVM) algorithm for predicting multivariate or structured outputs. It performs supervised learning by approximating a mapping
h: X --> Y
using labeled training examples (x1,y1), ..., (xn,yn). Unlike reg
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Calculation of gradient and objective for Least Squares (binary
classification)
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ROC curves illustrate performance on a binary classification problem where classification is based on simply thresholding a set of scores at varying levels. Lenient thresholds give high sensitivity but low specificity, strict thresholds give high spe
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利用分类二叉树实现数据的排序处理等功能，结构体struct student{int num；char name[10] }-Classification binary tree sort of data processing functions, structure struct student {int num char name [10] }
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一种用于数据分类的算法，与svm的作用类似-In statistics, logistic regression or logit regression is a type of probabilistic classification model[1] used for predicting the outcome of a categorical dependent variable (i.e., a class label) based on one or more predictor v
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自己做的数字识别，二叉决策树及1-v-1分类识别，有具体的注释说明，简单易懂，正确率高，可以直接运行！-digital identification designed by myself, binary decision tree and 1-v-1 classification, there are specific notes, easy to understand, good correct rate, you can directly run!
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深度学习相关代码实现，可以用来做去噪，去模糊，回归，识别等- Initialize and train an RBM energy-based model. Supports binary, Gaussian,
and multinomial inputs (still in development).
Supports binary and noisy rectified linear units (NReLU) in the hidden layer.
Supports joi
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complete local binary pattern using for texture classification
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读取sniffer数据库，读取MDB 中的数据，并在下方显示 sniffer 软件分析后的二进制数据，将数据具体信息在其下方进行分类展示。-Read sniffer , read the data in the MDB and display binary data after sniffer software analysis below, the specific information in the data below shows the classification.
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该项目实现将英文文本文件中的单词分类并排序的功能。利用二叉树，快速排序等算法大大提高了代码的执行效率。-The project will achieve the English word text file classification and sorting functions. Use binary, fast sorting algorithm greatly improve the efficiency of the code.
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BP二分类问题，有详细的数据,xuyaode keyikan yixia-BP binary classification problem, there are detailed data
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Implementation of "Median Robust Extended Local Binary Pattern for Texture Classification" (for Matlab)
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