In this paper, the principals and characteristics of chemical pattern recognition method were described. Among this method, LinearLearning Machine was emphasized.
本文简述了化学模式识别方法的原理和特点,着重论述了线性学习机方法。
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Moreover, SVMs can change a nonlinear learning problem in to a linearlearning problem in order to reduce the algorithm complexity by using the kernel function idea.
又由于采用了核函数思想,使它把非线性问题转化为线性问题来解决,降低了算法的复杂度。
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Moreover, SVM can convert a nonlinear learning problem into a linearlearning problem in order to reduce the algorithm complexity by using the kernel function concept.