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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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实现了机器学习中的logistic regression 算法，可以对三类高斯分布的采样进行分类-Achieved in the logistic regression machine learning algorithm, can be three types of Gaussian distribution of samples to classify
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工量预测.xls
截面扭转特性.xls
截面特性一.xls
截面特性二.xls
最优化问题.xls
最值问题.xls
牛顿法解方程.xls
矩阵运算.xls
线性拟合.xls
解线性方程组.xls
解线性方程组（二）.xls
辛普森法积分.xls
频率与振型求解.xls
双变量模拟运算.xls
多元线性回归.xls
多项式拟合.xls
实例1.xls
实例2.xls
实例3.xls
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Boosting is a general method for improving the accuracy of any given
learning algorithm. Focusing primarily on the AdaBoost algorithm, this
chapter overviews some of the recent work on boosting including analyses
of AdaBoost’s training error an
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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 reg
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Weka是一个超强功能的machine learning开发包-Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, clas
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集成学习算法集合 GBDT、NN、Logistic regression-Integrated learning algorithm collection GBDT, NN, Logistic regression, etc.
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A support vector machine (SVM) is a concept in statistics and computer science for a set of related supervised learning methods that analyze data and recognize patterns, used for classification and regression analysis.
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weka入门学习中用到的银行数据，里面有600个实例，用于分类、聚类、回归或这关联规则 初入门试用。-the weka Getting started learning to use the bank data, there are 600 instances for classification, clustering, regression, association rules early entry to the trial.
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machine learning in Logistic Regression(机器学习)-machine learning in Logistic Regression (machine learning)
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高斯过程回归训练，机器学习的matlab代码-gaussian process regression machine learning
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在模式识别众多分类器中一种根据收敛性质实现的线性回归模型-In many pattern recognition classifier one according to the convergence property of the linear regression model
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用matlab实现机器学习算法中的逻辑回归-Using matlab to achieve a machine learning algorithm in a logistic regression
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本程序是实现遗传支持向量机（SVM）的回归拟合，以混凝土的抗压测试为例，具有很好的学习价值。-This program is a genetic support vector machine (SVM) regression fit to the concrete compression test, for example, having a great learning value.
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此源码是机器学习中回归树的源码，包括建立、训练、剪枝等等，可供新手参考-This source is the source of the return tree in machine learning, including the establishment, training, pruning, etc., for the novice reference
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Logistic (regression) classification
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Linear regression, gradient descent
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Logistic Regression - a Classification method using the mnist DB, with sigmoid function and gradient ascent for optimization
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机器学习逻辑回归方法，对二分类问题进行拟合，得到正确率(The machine learning logic regression method is used to fit the two classification problems and get the correct rate.)
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R语言回归分析程序实例，用于R开发者进行简单开发(R language regression analysis program case)
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