... 估计理论(estimation theory) 渐进理论(asymptotic theory) 最佳化理论(optimality theory, minimax theory) ...
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神经网络的理论基础是最小化经验误差，这种基于传统的渐进理论的学习方法，在训练样本点无穷多时是适用的。
Because neural network is based upon empirical risk minimization and asymptotic theories, it is suitable to deal with situations where the amount of samples is tremendous and even infinite.
他的理论中一个具有文化偏见的例子就是：变化是渐进的。
An example of a cultural bias that was reflected in his theory was the idea that change was gradual.
这个理论的新进展本质上的渐进，产生于心理学，生物学，以及相关领域。
The theory is essentially incremental as new advances are made in psychology, biology, and related fields.
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