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Statistical-learning-Theory

  • Versatile visual servoing without knowledge of true jacobian.pdf cobian matrix estimator. The Jacob

    Versatile visual servoing without knowledge of true jacobian.pdf cobian matrix estimator. The Jacobian matrix estimator does not need a priori knowledge of the kinematic structure and parameters of the robot system, such as camera and link parameters. The proposed visual servoing control scheme ensures the convergence of the image-features to desired trajectories, by using the estimated Jacobian matrix, which is proved by the Lyapunov stability theory. To show the effectiveness of the proposed scheme, simulation and experimental results are presented.

    标签: Versatile knowledge estimator servoing

    上传时间: 2016-08-26

    上传用户:大三三

  • The kernel-ica package is a Matlab program that implements the Kernel ICA algorithm for independent

    The kernel-ica package is a Matlab program that implements the Kernel ICA algorithm for independent component analysis (ICA). The Kernel ICA algorithm is based on the minimization of a contrast function based on kernel ideas. A contrast function measures the statistical dependence between components, thus when applied to estimated components and minimized over possible demixing matrices, components that are as independent as possible are found.

    标签: independent kernel-ica implements algorithm

    上传时间: 2014-01-17

    上传用户:yiwen213

  • 是否懂得C语言并不是学习C++的前提。不仅仅是因为C++本身兼容C语言

    是否懂得C语言并不是学习C++的前提。不仅仅是因为C++本身兼容C语言,更重要的是C++所倡导的程序设计观念是和C语言完全不同的。C语言在某种意义上是对CPU模型的抽象。尽管C++完全保留了C语言的机器模型,但是C++更加注重对现实世界进行抽象。为此,C++创始人Bjarne Stroustrup专门写过一篇著名的文章:《Learning Standard C++ as a New Language》(把标准C++作为一种全新的语言来学习)

    标签: C语言 兼容

    上传时间: 2013-12-25

    上传用户:fandeshun

  • flex code

    flex code,compiler theory curriculum design, the C write PL / 0 compiler, a detailed documentation and code

    标签: flex code

    上传时间: 2016-11-05

    上传用户:13681659100

  • 一个神经网络原型代码

    一个神经网络原型代码,针对的例子为《Perceptron Learning》 (Russell & Norvig, 第742页)

    标签: 神经网络 原型 代码

    上传时间: 2016-11-06

    上传用户:康郎

  • This GUI can be used by entering nu at the MATLAB command prompt. The user can either select a funct

    This GUI can be used by entering nu at the MATLAB command prompt. The user can either select a function (f(x)) of their choice or a statistical distribution probability distribution function to plot over a user defined range. The function s integral can be evaluated over a user defined range by using: The composite trapezium, simpsons and gauss-legendre rules. This is useful for calculating accurate probabilities that one might see in statistical tables.

    标签: can entering command MATLAB

    上传时间: 2016-11-07

    上传用户:偷心的海盗

  • BPMLL is a package for training multi-label BP neural networks. The package includes the MATLAB code

    BPMLL is a package for training multi-label BP neural networks. The package includes the MATLAB code of the algorithm BP-MLL, which is designed to deal with multi-label learning. It is in particular useful when a real-world object is associated with multiple labels simultaneously

    标签: package multi-label includes networks

    上传时间: 2013-12-05

    上传用户:xsnjzljj

  • Many of the pattern fi nding algorithms such as decision tree, classifi cation rules and c

    Many of the pattern fi nding algorithms such as decision tree, classifi cation rules and clustering techniques that are frequently used in data mining have been developed in machine learning research community. Frequent pattern and association rule mining is one of the few excep- tions to this tradition. The introduction of this technique boosted data mining research and its impact is tremendous. The algorithm is quite simple and easy to implement. Experimenting with Apriori-like algorithm is the fi rst thing that data miners try to do.

    标签: 64257 algorithms decision pattern

    上传时间: 2014-01-12

    上传用户:wangdean1101

  • Semantic analysis of multimedia content is an on going research area that has gained a lot of atten

    Semantic analysis of multimedia content is an on going research area that has gained a lot of attention over the last few years. Additionally, machine learning techniques are widely used for multimedia analysis with great success. This work presents a combined approach to semantic adaptation of neural network classifiers in multimedia framework. It is based on a fuzzy reasoning engine which is able to evaluate the outputs and the confidence levels of the neural network classifier, using a knowledge base. Improved image segmentation results are obtained, which are used for adaptation of the network classifier, further increasing its ability to provide accurate classification of the specific content.

    标签: multimedia Semantic analysis research

    上传时间: 2016-11-24

    上传用户:虫虫虫虫虫虫

  • 另一本介绍贝叶斯网络的经典教材

    另一本介绍贝叶斯网络的经典教材,可以与Learning Bayesian Networks配合使用,相得益彰。

    标签: 贝叶斯 网络 教材

    上传时间: 2014-01-05

    上传用户:电子世界