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人工智能/神经网络 最新的支持向量机工具箱
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, ...
数学计算 Polynomial fit functions === === === === RegressionObject.cls contains a class that provides an
Polynomial fit functions
=== === === ===
RegressionObject.cls contains a class that provides an easy way to add polynomial regression functionality to any application. If you just want linear regression or a very high degree, no matter: this class has good performance and scales seamlessly with th ...
人工智能/神经网络 Support Vector Machines is a powerful methodology for solving problems in nonlinear classification a
Support Vector Machines is a powerful methodology for solving problems in nonlinear classification and regression.
It is a matlab version.
数学计算 The Bayesian Committee Machine (BCM) is an approximation method for large-scale Gaussian process re
The Bayesian Committee Machine (BCM) is an approximation method for
large-scale Gaussian process regression.
- The code is for Matlab
Version 1.0, November 2005
人工智能/神经网络 高斯过程是一种非参数化的学习方法
高斯过程是一种非参数化的学习方法，它可以很自然的用于regression，也可以用于classification。本程序用高斯过程实现分类！
其他 In this paper we propose to reduce the textural components by modelling the coefficients of a wedg
In
this paper we propose to reduce the textural components by
modelling the coefficients of a wedgelet based regression tree
instead of the original pixel intensities
数学计算 The subroutines glkern.f and lokern.f use an efficient and fast algorithm for automatically adapti
The subroutines glkern.f and lokern.f use an efficient and fast algorithm for
automatically adaptive nonparametric regression estimation with a kernel method.
Roughly speaking, the method performs a local averaging of the observations when
estimating the regression function. Analogously, one can e ...
其他 Support Vector Machine is small sample method based on statistic learning theory. It is a new method
Support Vector Machine is small sample method based on statistic learning theory. It is a new method to deal with the highly nonlinear classification and regression problems .It can better deal with the small sample, nonlinear and
人工智能/神经网络 PCA and PLS aims:to get some insight into the bilinear factor models Principal Component Analysis
PCA and PLS aims:to get some
insight into the bilinear factor models Principal Component Analysis
(PCA) and Partial Least Squares (PLS) regression, focusing on the
mathematics and numerical aspects rather than how s and why s of
data analysis practice. For the latter part it is assumed (but not
abso ...
人工智能/神经网络 本人编写的incremental 随机神经元网络算法
本人编写的incremental 随机神经元网络算法，该算法最大的特点是可以保证approximation特性，而且速度快效果不错，可以作为学术上的比较和分析。目前只适合benchmark的regression问题。
具体效果可参考
G.-B. Huang, L. Chen and C.-K. Siew, “Universal Approximation Using Incremental Constructive Feedforward Networ ...