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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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this program compare the Locally Weighted Linear Regression with three diferrent kernel function (gaussian, logistic basis, and Reciprocal Multiquadric) also compare locally weighted by simple Linear Regression.
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Recently, the problem of automatic traffic accident recognition has appealed to the machine vision community due to its implications on the development of autonomous Intelligent Transportation Systems (ITS). In this paper, a new framework for real-ti
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采用随机梯度算法，来利用逻辑回归对训练集进行分类-Classify the training set by logistic regression
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二分类逻辑回归matlab代码,运行有效，包含图形说明。-Binary logistic regression matlab code to run efficiently, including graphical instructions.
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用java实现了逻辑回归的算法,压缩包中有测试数据可以使用.-Using java to implementation a logistic regression algorithm, the compressed package including test data.
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逻辑回归模型的实现，可以进行训练，预测，分类-Achieve logistic regression model can be trained, forecasting, classification
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逻辑回归是目前流行的神经网络算法的实现基石，本程序通过简单的例子介绍了逻辑回归的思想以及算法拓展。-Logistic regression is a popular neural network algorithm to achieve a cornerstone of this program through a simple example and introduced the idea to expand the logistic regression algorithm.
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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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使用梯度下降法、随机梯度下降法和牛顿法实现的逻辑回归算法。-Using a gradient descent method, stochastic gradient descent algorithm logistic regression method and Newton' s method to achieve.
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医学研究中的logistic回归分析及SAS实现，相关程序代码(Medical research in logistic regression analysis and SAS implementation, the relevant program code)
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机器学习中的一种对数据进行分类的模型，非常好用，可以运行，推荐下载。(A machine learning model for data classification, very easy to use, you can run, it is recommended to download.)
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逻辑蒂斯回归模型，用于概率预测，或者分类。内附matlab代码，以及运行数据，可直接运行。(this is an matlab code of logistic regression which could use for data classification and properbility predict. u can direcctly use this code and th data inside.)
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该逻辑蒂斯回归模型matlab程序用于数据多分类，适用于有监督，学习型模型。(the matlab code of logistic regression used for data multi-classification. it is a kind of unsurpervisor study.)
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机器学习，logistic回归，内附验证数据(Machine learning, logistic regression, data classification, and test data)
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一个在机器需欸领域非常经典的算法-逻辑回归，改实例实现了逻辑回归的功能，简单易懂，有条理，带有数据集(A very classic algorithm in the field of machine requirements - Logistic Regression, change instances to achieve the function of logistic regression, easy to understand, organized, with a data set)
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python实现的logistic回归，ex2为不带正则化的版本，ex2_reg为正则化版本，从数据集中的两个特征中，采用相乘与取n次方的方法，又人工生成了一些特征，因此加上了正则化。(logistic regression in python)
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基于Logistic回归采用梯度提升算法及算法改进(Logistic regression and algorithm improvement)
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用梯度下降求解逻辑回归基于python语言的实现(Using gradient descent to solve logistic regression based on Python language)
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logistic回归matlab程序设计，里面包含例子，只需修改数据即可。(Logistic regression matlab programming, which contains examples, just need to modify the data.)
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