Support vector regression can be used to solve both linear and nonlinear models. Support vector regression has been determined to be productive to be an effective real-value function estimation.
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Support vector regression can be used to solve both linear and nonlinear models. Support vector regression has been determined to be productive to be an effective real-value function estimation.