Search - kernel methods

[Other resource] svm_v0.55beta

Description: 最新的支持向量机工具箱，有了它会很方便 1. Find time to write a proper list of things to do! 2. Documentation. 3. Support Vector Regression. 4. Automated model selection. REFERENCES ========== [1] V.N. Vapnik, \"The Nature of Statistical Learning Theory\", Springer-Verlag, New York, ISBN 0-387-94559-8, 1995. [2] J. C. Platt, \"Fast training of support vector machines using sequential minimal optimization\", in Advances in Kernel Methods - Support Vector Learning, (Eds) B. Scholkopf, C. Burges, and A. J. Smola, MIT Press, Cambridge, Massachusetts, chapter 12, pp 185-208, 1999. [3] T. Joachims, \"Estimating the Generalization Performance of a SVM Efficiently\", LS-8 Report 25, Universitat Dortmund, Fachbereich Informatik, 1999. -The newest work tools of svm,it will be very convenient to have it.
Platform: | Size: 172130 | Author: 金星 | Hits:

[AI-NN-PR] svm_v0.55beta

Description: 最新的支持向量机工具箱，有了它会很方便 1. Find time to write a proper list of things to do! 2. Documentation. 3. Support Vector Regression. 4. Automated model selection. REFERENCES ========== [1] V.N. Vapnik, "The Nature of Statistical Learning Theory", Springer-Verlag, New York, ISBN 0-387-94559-8, 1995. [2] J. C. Platt, "Fast training of support vector machines using sequential minimal optimization", in Advances in Kernel Methods - Support Vector Learning, (Eds) B. Scholkopf, C. Burges, and A. J. Smola, MIT Press, Cambridge, Massachusetts, chapter 12, pp 185-208, 1999. [3] T. Joachims, "Estimating the Generalization Performance of a SVM Efficiently", LS-8 Report 25, Universitat Dortmund, Fachbereich Informatik, 1999. -The newest work tools of svm,it will be very convenient to have it.
Platform: | Size: 172032 | Author: 金星 | Hits:

[AI-NN-PR] Kernel_Methods_for_Pattern_Analysis_Matlab_Tools_F

Description: 《模式分析的核方法》一书中的源代码，其中有该书的基本介绍和talk！
Platform: | Size: 1156096 | Author: 刘强 | Hits:

[AI-NN-PR] LearningPatternClassificationASurvey

Description: 模式识别学习综述.该论文的英文参考文献为303篇.很有可读价值.Abstract— Classical and recent results in statistical pattern recognition and learning theory are reviewed in a two-class pattern classification setting. This basic model best illustrates intuition and analysis techniques while still containing the essential features and serving as a prototype for many applications. Topics discussed include nearest neighbor, kernel, and histogram methods, Vapnik–Chervonenkis theory, and neural networks. The presentation and the large (thogh nonexhaustive) list of references is geared to provide a useful overview of this field for both specialists and nonspecialists.-Summary of pattern recognition learning. The paper for English 303 references. Very readable value. Abstract-Classical and recent results in statistical patternrecognition and learning theory are reviewed in a two-classpattern classification setting. This basic model best illustratesintuition and analysis techniques while still containing the essentialfeatures and serving as a prototype for many applications.Topics discussed include nearest neighbor, kernel, and histogrammethods, Vapnik-Chervonenkis theory, and neural networks. Thepresentation and the large (thogh nonexhaustive) list of referencesis geared to provide a useful overview of this field for bothspecialists and nonspecialists.
Platform: | Size: 821248 | Author: 蒋大为 | Hits:

[Other] compile_kernel

Description: 编译linux或嵌入式linux内核的方法，让大家学会自己动手编译linux内核-Compiler embedded linux or linux kernel methods, let us learn to compile their own linux kernel
Platform: | Size: 11264 | Author: hganmeng | Hits:

[JSP/Java] F_KDDA_PolyPro

Description: kernel methods for face recognition
Platform: | Size: 2048 | Author: mahdi | Hits:

[AI-NN-PR] Advances_in_kernel_methods

Description: 这本书的内容基本摘自NIPS会议上的文章，质量高内容也很有深度，是一本经典的svm参考书。-the book with the name "advances in kernel methods",it is a classic book about kernel methods and svm.
Platform: | Size: 53763072 | Author: chenhuiling | Hits:

[Special Effects] kernel

Description: Kernel-based 图像去噪和复原算法，是一种基于图像局部特征的复原方法。-Kernel-based algorithm for image denoising and restoration, is a local feature of image-based recovery methods.
Platform: | Size: 2732032 | Author: feelfree | Hits:

[matlab] Kernel_Methods_for_Pattern_Analysis_Matlab_Tools_F

Description: 该文档包含了描述核方法的经典书籍Kernel+Methods+for+Pattern+Analysis以及附带书中的源码，非常适合学习核方法的研究者，希望大家喜欢～-this document include the classic book Kernel+Methods+for+Pattern+Analysis which describs the kernel trick in detail, and with the souce code in it, hope you will like~
Platform: | Size: 3923968 | Author: chenhuiling | Hits:

[Other] KM-for-PhD-Kernel-Methods

Description: 该文档包含了描述核方法的PPT,非常有价值-Kernel Methods
Platform: | Size: 8927232 | Author: shabo | Hits:

[matlab] kernel_pca

Description: Kernel principal component analysis (kernel PCA) [1] is an extension of principal component analysis (PCA) using techniques of kernel methods. Using a kernel, the originally linear operations of PCA are done in a reproducing kernel Hilbert space with a non-linear mapping.
Platform: | Size: 2048 | Author: Karthikeyan | Hits:

[Other] ebook.Kernel_Methods_for_Pattern_Analysis.0521813

Description: Ebook kernel methods for pattern analysis
Platform: | Size: 2603008 | Author: Maria | Hits:

[JSP/Java] kernel-methods

Description: kernel methods for pattern analysis
Platform: | Size: 627712 | Author: 徐徐 | Hits:

[Other] Kernel-Methods-for-Pattern-Analysis

Description: Kernel Methods for Pattern Analysis.rar-Kernel Methods for Pattern Analysis
Platform: | Size: 2591744 | Author: hizagalilo | Hits:

[Windows Develop] kernel-methods-for-pattern-analysis

Description: 关于核及模式分析的一些方法,主要包括三个部分-some algorithms on pattern analysis and kernel methods,kernel method for pattern analysis
Platform: | Size: 2591744 | Author: 原野 | Hits:

[matlab] KERNEL-PCA

Description: Kernel principal component analysis (kernel PCA) is an extension of principal component analysis (PCA) using techniques of kernel methods. Using a kernel, the originally linear operations of PCA are done in a reproducing kernel Hilbert space with a non-linear mapping.-Kernel principal component analysis (kernel PCA) is an extension of principal component analysis (PCA) using techniques of kernel methods. Using a kernel, the originally linear operations of PCA are done in a reproducing kernel Hilbert space with a non-linear mapping.
Platform: | Size: 3072 | Author: rem | Hits:

[matlab] Kernel

Description: Kernel methods for feature extraction
Platform: | Size: 86016 | Author: Emily | Hits:

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