Description: Multiple Kernel Learning (MKL) code by F. Bach, G. Lanckriet, and M. Jordan
说明：matlab文件，原地址http://www.stat.berkeley.edu/~gobo/SKMsmo.tar已失效。-Multiple Kernel Learning (MKL) code by F. Bach, G. Lanckriet, and M. Jordan Platform: |
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Author:Jane Sun |
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Description: Multiple kernel learning is a model to merge multiple kernels by linear combination. Mostly solving the models are slow due to explicit computation of kernels.
Here, we propose to approximate kernel map function explicitly in finite dimensional space. Then, we use dual coordinate descent to solve the SVM. By storing the solutions in primal, we do not have to compute the kernel explicitly. A group lasso regularization on kernel weights is solved with SVM alternatingly.
This is a side-project in my research projects with Dr. Yi-Ren Yeh and Dr. Frank Wang in Academia Sinica. Platform: |
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Author:Shinva |
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Description: 2014年pami的关于核学习方法的文章，有兴趣的同学一起学习吧-2014 PAMI on the nuclear learning method of the article, there are interested students learn togethe Platform: |
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Author:李阳 |
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Description: 多核变换，稀疏变换，核变换自适应学习，图形图像变换(Description
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Multi-Kernel-Path package is a Matlab program that computes the entire regularization
path for multiple-kernel learning problems. More precisely, it solves any learning
problem with a smooth loss function and where the kernel itself is optimized over
combinations of several basis kernels. It returns the solutions for ALL values of
the regularization parameter.) Platform: |
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Author:ggyyqq |
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