Description: 布谷鸟算法的应用，在论文，机器学习，自然语言处理等方面有着极大的应用(The application of the cuckoo algorithm, There are great applications in paper, machine learning, Natural Language Processing, etc.) Platform: |
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Author:602 |
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Description: k-nn算法 K-NN算法 ( K Nearest Neighbor, K近邻算法 ), 是机器学习中的一个经典算法, 比较简单且容易理解. K-NN算法通过计算新数据与训练数据特征值之间的距离, 然后选取 K (K>=1) 个距离最近的邻居进行分类或者回归. 如果K = 1 , 那么新数据将被分配给其近邻的类.(k-nnK - NN algorithm (K on his Neighbor, K Nearest Neighbor algorithm), is a classical algorithm of machine learning, more simple and easy to understand. K - NN algorithm by calculating the new data and the distance between the training data characteristic value, and then select K (K > = 1) from the Nearest Neighbor classification or regression. If K = 1, then the new data will be class assigned to its neighbours.) Platform: |
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Author:smilephil |
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Description: 本报告对 朴素贝叶斯模型及线性判别分析、二次判别分析 进行系统测试
“生成模型”是机器学习中监督学习方法的一类。与“判别模型”学习决
策函数和条件概率不同，生成模型主要学习的是联合概率分布??(??,??)。本
文中，我们从朴素贝叶斯算法入手，分析比较了几种常见的生成模型（包
括线性判别分析和二次判别分析）应用于多因子选股的异同，希望对本领
域的投资者产生有实用意义的参考价值。(This report gives a systematic test of naive Bayesian model, linear discriminant analysis and two discriminant analysis
"Generation model" is a kind of supervised learning method in machine learning. Learning from "discriminant model"
The strategy function and the conditional probability are different. The generation model mainly studies the joint probability distribution. book
In this paper, we analyze and compare several common generation models (packages) from the naive Bayes algorithm.
The linear discriminant analysis and the two discriminant analysis are applied to the similarities and differences of multi factor stock selection.
The investors of the domain have a useful reference value.) Platform: |
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Author:隔壁的头老李 |
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Description: SVM(Support Vector Machine)指的是支持向量机，是常见的一种判别方法。在机器学习领域，是一个有监督的学习模型，通常用来进行模式识别、分类以及回归分析。(SVM (Support Vector Machine) refers to support vector machines, which is a common method of discrimination. In the field of machine learning, it is a supervised learning model, which is usually used for pattern recognition, classification and regression analysis.) Platform: |
Size: 158720 |
Author:束负禾火 |
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Description: 蒙特卡洛算法也常用于机器学习，特别是强化学习的算法中。一般情况下，针对得到的样本数据集建立相对模糊的模型，通过蒙特卡洛方法对于模型中的参数进行选取，使之于原始数据的残差尽可能的小。从而达到建立模型拟合样本的目的。(Monte Carlo algorithm is also commonly used in machine learning, especially in reinforcement learning algorithm. In general, a relatively fuzzy model is established for the obtained sample data set, and the parameters in the model are selected by Monte Carlo method so that the residual error of the original data is as small as possible. Thus, the purpose of establishing the model fitting sample is achieved.) Platform: |
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Author:天射手座 |
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Description: 该材料适合机器学习，具有详细参考书籍，非常适合初学者学习(This material is suitable for machine learning, with detailed code and corresponding reference books. It is very suitable for beginners to learn.) Platform: |
Size: 3928064 |
Author:Bigstrong |
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Description: 本程序使用matlab软件，实现了基于K-means聚类算法的图像分割。(Image split based on K-means was done by using Matlab.) Platform: |
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Author:Hanqi |
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Description: SSL(Semi-Supervised Learning) with Measure Propagation: Implementation of Measure Propagation Algorithm introduced in, Subramanya, Amarnag, and Jeff Bilmes. Semi-supervised learning with measure propagation. The Journal of Machine Learning Research 12 (2011): 3311-3370. Platform: |
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Author:mllab |
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Description: 关于深度学习的训练代码，适合比较初等的训练练习，关于不同机器学习模型的搭建(THE MACHINE LEARNING PRACTICE FOR COURSERA SECTION. CODING STUFF OF OPTIMIZATION, DECISION TREE AND OTHERS) Platform: |
Size: 5120 |
Author:StephenSuns |
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Search - Machine Learning matlab