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这是支持向量机的一个程序，可以做回归和分类问题。如果有问题可以和作者联系。-SVM a procedure can be done regression and classification problems. If there's a problem and can contact the author.
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This paper presents a novel segmentation algorithm for metallographic images, especially those objects without regular boundaries and homogeneous intensity. In metallographic quantification, the complex microstructures make the conventional approache
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pattern recognition中多类分类问题的GAMLS通用学习系统框架-pattern recognition in the multiclass classification problem GAMLS Universal Learning System Framework
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This solution and source code algorithm LMS was developed to a project of software for training of classrooms having used.
The samples, as well as the indices and entrances of the algorithm follow a standard of vectors of classrooms and characteris
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This the program for the multi classification problem utiizing the incremental support vector domain density descr iption method.-This is the program for the multi classification problem utiizing the incremental support vector domain density descr ip
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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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针对多个特征指标的多传感器数据融合问题，将Fisher理论和多数投票法相结合进行数据融合来增加识别率。该方法首先通过Fisher理论得到多个判别函数，然后通过多数投票法继续对得到的判别进行分类得到最后的识别决策。该方法适合多个特征目标识别，计算简单。易于实现-Indicators for multiple features multi-sensor data fusion problem, Fisher majority vote of the Combination of theory and
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k均值算法是模式识别的聚分类问题，这是用C#实现其算法-K-means algorithm is pattern recognition of poly classification problem, this is written in c# realize its algorithm
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Clustering is the unsupervised classification of patterns (observations, data items,
or feature vectors) into groups (clusters). The clustering problem has been
addressed in many contexts and by researchers in many disciplines this reflects its
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将svm分类与bp算法结合，针对图像中的分类预测问题提出一种算法-Svm classification the bp algorithm combines propose an algorithm for image classification prediction problem
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关于em算法的具体实现，，包括对硬分类和软分类方法硬币投掷问题的具体程序分析-Hard classification of soft classification problem about the em algorithm coins throwing specific analytical methods and program analysis
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功能介绍：
1）主要题型
填空题、判断题、单选题、多选题、简答题。
2）组卷方式
人工选题：
通过选择各种题型的题库组成卷子，最多可以由5种题型组成（填空题、判断题、 单选题、多选题、简答题）；
随机抽题：
通过设置各类题型的题库数量，由系统随机抽取试题组成卷子，最多可以由3种 题型组成（判断题、单选题、多选题）；
手工输入：
通过手工输入试题内容的文本，可以事先用word把考题设计好，然后粘贴到编辑 框中。
3）考试安排
考试安排的流
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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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此代码是对卷积神经网络用于手写字体识别的实现，程序是基于theano库开发的，并且用到了集成化模块keras,方便我们构建自己的网络结构，很好的解决分类问题-This code is the convolution neural network for handwritten character recognition, the program is based on the theano library development, and use the integrated modular k
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聚类分析又称群分析，它是研究（样品或指标）分类问题的一种统计分析方法，同时也是数据挖掘的一个重要算法。本代码主要用于过程监控故障检测-Clustering analysis, also called group analysis, which is a statistical analysis method of the research (sample or index) classification problem, is also an important algorithm of dat
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利用构造冗余字典的方法实现数据分类问题，将数据进行稀疏分解，通过稀疏向量和残差判断故障类型-The method of using structural redundancy dictionary for data classification problem, the data are sparse decomposition, through sparse vector and residual judge fault type
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SVM本身是针对经典的二分类问题提出的，支持向量回归机（Support Vector Regression，SVR）是支持向量在函数回归领域的应用(SVM itself is proposed for the classical two classification problem. Support Vector Regression (SVR) is the application of support vector in the field of function regression)
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介绍多属性决策模型可以的解决问题，解决分类问题(The problem of multi-attribute analysis is introduced to solve the classification problem)
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该程序是基于传统的K近邻方法发展而来的一种可用于多标签分类的方法(this code can be used for multi-label classification problem)
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该代码是基于粒子群算法优化的支持向量机，适用于分类问题(The code is based on particle swarm optimization support vector machine, suitable for classification problem.)
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