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Description: a parallel svm lib from googlecode.
Platform: |
Size: 34816 |
Author: linglux |
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Description: 支持向量机（svm）的 序列最小优化算法（sequential minimal optimization) 的大量论文资料！该算法可用来开发svm的并行算法！-Support vector machine (svm) of the sequential minimal optimization algorithm (sequential minimal optimization) information on a large number of papers! The algorithm can be used to develop a parallel algorithm for svm!
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Size: 10374144 |
Author: lujia |
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Description: Vsvm3.0是一款window系统下运行的可视化svm算法工具，除了普通的分类和回归算法，还带有多目标回归预测；内含多种参数方式和序列极小化特征选择算法；并且支持多核并行运算-Vsvm3.0 is a window system running svm algorithm visualization tool, in addition to general classification and regression algorithms, but also with a multi-objective regression prediction includes various parameters and sequence minimization methods of feature selection algorithm and to support multi-core parallel computing
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Size: 1162240 |
Author: zj |
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Description: 基于GPU计算的SVM，VC++源码，包括详细文档说明文件。借用了GPU编程的优势，该代码据作者说比常规的libsvm等算法包的训练速度快13-73倍，预测速度快22-172倍。希望对大家有用-cuSVM is a software package for high-speed (Gaussian-kernelized) Support Vector Machine training and prediction that exploits the massively parallel processing power of Graphics Processors (GPUs). cuSVM is written in NVIDIA s CUDA C-language GPU programming environment, includes implementations of both classification and regression, and performs SVM training (prediction) at 13-73 (22-172) times the rate of state of the art CPU software. Moreover, cuSVM features a Matlab MEX wrapper so that users can access the GPU s power without having to do any "real" programming.
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Size: 879616 |
Author: Sheng |
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Description: 一个向量机（svm）的 序列最小优化算法源码,该算法可用来开发svm的并行算法！-A vector machine (svm) the sequential minimal optimization algorithm source code, the algorithm can be used to develop parallel algorithms svm!
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Size: 10375168 |
Author: 认可 |
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Description: pca做特征降维，然后进行特征空间随机分割构造多个svm分类器，并行处理，对样本进行分类，基于特征空间的svm多分类器-using pca reduce feature dimension,split feature space and then randomly divided over svm classifier construction, parallel processing, the samples were classified, based on multi-feature space classification svm
Platform: |
Size: 2048 |
Author: xiao |
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Description: 随着计算机和网络技术应用的日益普及，网络安全问题
日显突出。来自计算机系统外部和内部的入侵者可能会对系
统进行破坏，或者试图窃取客户的个人信息。为了保证计算
机系统及信息的安全，网络入侵检测技术得到了发展和应用。-In order to optimize test efficiency of Intrusion Detection System(IDS) based on Support Vector Machine(SVM), a new intrusion
detection method based on Graphics Processing Unit(GPU) and feature selection is proposed. During the process of intrusion detection, GPU-based
parallel computing model is adopted and features of samples are reasonable selected. Experimental results demonstrate that the proposed method can
reduce time consumption in the training procedure of IDS and the performance for intrusion detection is kept as usual.
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Size: 223232 |
Author: 闫雪 |
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Description: 支持向量机SVM gridr.py 核函数自动寻优
多核并行程序
wen7 32位系统-Support Vector Machine SVM gridr.py kernel function automatically optimizing multicore parallel programming wen7 32-bit systems
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Size: 105472 |
Author: yuan-chen |
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Description: 本书共有43章，内容涵盖常见的神经网络（BP、RBF、SOM、Hopfield、Elman、LVQ、Kohonen、GRNN、NARX等）以及相关智能算法（SVM、决策树、随机森林、极限学习机等）。同时，部分章节也涉及了常见的优化算法（遗传算法、蚁群算法等）与神经网络的结合问题。此外，本书还介绍了MATLAB R2012b中神经网络工具箱的新增功能与特性，如神经网络并行计算、定制神经网络、神经网络高效编程等(This book consists of 43 chapters, covering common neural networks (BP, RBF, SOM, Hopfield, Elman, LVQ, Kohonen, GRNN, NARX, etc.) and related intelligent algorithms (SVM, decision tree, random forest, extreme learning machine, etc.). At the same time, some chapters also involve the combination of common optimization algorithms (genetic algorithm, ant colony algorithm, etc.) and neural networks. In addition, the book also introduces the new functions and characteristics of the neural network toolbox in MATLAB R2012b, such as parallel computing of neural networks, customized neural networks, efficient programming of neural networks, etc)
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Size: 54128640 |
Author: caravan |
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