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introduce and Learning With Kernels: Support Vector Machines, Regularization, Optimization and Beyond
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核学习
这是介绍核方法非常经典的书籍。里面包括各种核方法：kpca，kfda以及贝叶斯核方法-learning with kernels， this book is a classical book about kernel。 really worth of reading。
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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 sp
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KernelMachines is a java library for learning with kernels. It is primary
designed to deal with custom kernels that are not easily found in standard
libraries, such as kernels on structured data
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多核变换，稀疏变换，核变换自适应学习，图形图像变换(Descr iption
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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
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