learning in feature space
3.1 特征空间中的学习(Learning in Feature Space) 需要学习的目标函数的复杂程度取决于它的表示方式.
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learning in feature space
特征空间学习
以上为机器翻译结果，长、整句建议使用 人工翻译 。
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The continuous attribute problems are often encountered in the real world, but many outstanding inductive learning algorithms are mainly based on a discrete feature space.
实际问题中经常涉及连续的数值属性，然而许多归纳学习算法却是针对离散属性空间的。
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