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本书较为系统和全面地介绍了算法学最基本的知识。这些知识和技巧既是高等院校“算法与数据结构”课程的主要内容，也是国际青少年信息学奥林匹克（IOI）竞赛和ACM/ICPC国际大学生程序设计竞赛中所需要的。书中分析了相当数量的问题。
-the book is more systematic and comprehensive study of the algorithm fundamental knowledge. These knowledge and skills is not only in
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计算机机器学习方法的研究和介绍,从中让你理解和掌握机器学习的一般知识,并认识一些有用算法.-computer machine learning methods and research, so as to allow you to understand and master the machine learning general knowledge, and recognizing some useful algorithms.
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本文基于遗传算法思想，采用浮点数矩阵表示编码，在遗传算法的进化过程中加入一定的约束条件等方法，探讨了网络结构的设计和学习。经实例分析，在用于建立大坝安全监控预报模型的前馈神经网络设计中，该方法在满足一定约束条件下，能同时有效地寻找合适的网络结构和相应的参数(神经网络的权值和阈值)，且在精度和速度上都有较大的提高，为实现实时在线分析评价大坝的安全性态提供了有力的技术支持。-Based on the genetic algorithm, using a float matrix coding, Ge
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为了对光线变化的图像进行顺利侵害，提出了一
种利用贝叶斯学习方法来进行视频图像分割的算法，印先在每个像素点处对不断变化的背景建模，同时计算每个像素点
处的颜色直方图，再用这些直方图来表示该像素点处特征向量的概率分布，然后用贝叶斯学习方法来进行判断，以确定在光线缓慢或者突然变化的时候，每个像素点是属于前景还是属于背景。-In order to change the image of light against a smooth, a Bayesian learning approach t
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本程序主要介绍了当前比较流行的人脸识别的算法，此算法可以给大家很好的学习经验。-This procedure introduces the more popular of the current face recognition algorithms, this algorithm can give you a very good learning experience.
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本书包含了很多学习FORTRAN的常用算法，对学习该计算机语言有很大帮助。FORTRAN常用算法程序集(第二版)徐士良-This book contains a lot of learning FORTRAN common algorithm for learning the computer language of much help. FORTRAN common algorithms for assembly (Second Edition) XU Shi-liang
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基于支持向量机的机器学习研究。支持向量机是目前机器学习领域一个比较成熟的算法。-Based on Support Vector Machines Machine Learning Research. Support Vector Machine is a relatively mature field of machine learning algorithms.
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基于生物免疫系统的自适应学习、免疫记忆、抗体多样性及动态平衡维持等功能,提出一种动态多目标免疫
优化算法处理动态多目标优化问题.算法设计中,依据自适应ζ邻域及抗体所处位置设计抗体的亲和力,基于Pa-
reto控制的概念,利用分层选择确定参与进化的抗体,经由克隆扩张及自适应高斯变异,提高群体的平均亲和力,利
用免疫记忆、动态维持和Average linkage聚类方法,设计环境识别规则和记忆池,借助3种不同类型的动态多目标
测试问题,通过与出众的动态环境优化算法比较,数值实验表明所
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国际上公认的十大机器学习算法，这些是自己翻译的-10 machine learning algorithms, the internationally recognized these own translation
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《计算机常用算法与程序设计案例教程》习题解答这个书是学习算法是的一门课程这里有课后习题的一些参考答案，跟程序代码，希望可以帮助需要的同学！-" Commonly used computer algorithms and program design case tutorial" Answers to this book is a learning algorithm is a course there is some reference answer Homework, wit
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机器学习的十大算法，AdaBoost，Apriori，CART，EM，K-means，kNN，PageRank，SVM-Ten machine learning algorithms, AdaBoost, Apriori, CART, EM, K-means, kNN, PageRank, SVM
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主要讲述机器学习的应用与趋势，包括机器学习的算法，理论算法和新技术，并用实例分析解决现实问题。-Focuses on the application of machine learning and trends, including machine learning algorithms, theory of algorithms and new technologies, and use examples to analyze and solve practical problems.
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机器学习经典的入门丛书，讲解机器学习经典的算法等-Machine learning classic introductory books to explain the classical machine learning algorithms
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Does machine learning really work? Yes. Over the
past decade, machine learning has evolved from a
field of laboratory demonstrations to a field of significant
commercial value. Machine-learning algorithms
have now learned to detect credit car
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Shapemodel is a matlab program that utilizes machine learning algorithms to automatically segment shapes in images, based on prior input training images.
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Machine Learning in Action详细讲述了机器学习的基本知识和著名的算法。对该书的阅读会让你快速走进机器学习的大门。-Machine Learning in Action in detail about the basics of machine learning algorithms and famous. To read the book you will learn quickly into the machine door.
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k-means is one of the simplest unsupervised learning algorithms that solve the well known clustering problem. The procedure follows a simple and easy way to classify a given data set through a certain number of clusters (assume k clusters) fixed apri
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This paper suggests that a simple modification to the initial search direction can also substantially improve the training efficiency of almost all major optimization methods. It was discovered that if the initial search direction is locally modified
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The main contribution of this paper is using
optimal control theory for improving the convergence
rate of backpropagation algorithm. In the proposed
approach, the learning algorithm of backpropagation
is modeled as a minimum time control prob
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Measuring the blood urea nitrogen concentration
is crucial to uate dialysis dose (Kt/V) in patients
with renal failure. Although frequent measurement is needed
to avoid inadequate dialysis efficiency, artificial intelligence
can repeatedly pe
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