The RNA world hypothesis proposes that early life was based on RNA, which subsequently devolved the storage of information to more stable DNA, and catalytic functions to more versatile proteins.
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Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.
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