Similarly, with machine learning algorithms, a common problem is over-fitting the data and essentially memorizing the training set rather than learning a more general classification technique.
同样，对于机器学习算法，一个通常的问题是过适合(原文为over -fitting，译者注)数据，以及主要记忆训练集，而不是学习过多的一般分类技术。
To solve the problem of ellipse - object - shape parameters detection in noise image, a new detection algorithm using nonlinear data fitting model and cross-reference iterative method is proposed.
为提高噪声环境下椭圆类物体形状检测算法的稳定性与准确性，本文提出非线性数据拟合模型结合交叉参考迭代的新思路。
Engineering applications, the interpolation and regression (curve fitting) function expression usually are used to describe data to solve the problem.
工程应用中通常用插值和回归(曲线拟合)解决函数表达式描述数据的问题。
A data fusion algorithm for sample set transforms surface problem into a curve fitting problem and a curve interpolation problem.
该算法将曲面问题转化为一个曲线拟合问题和一个曲线插值问题。
The method has solved localized problem of noise and real high frequency information in data is filtered with traditional slide fitting method.
该方法解决了传统的滑动拟合法对波浪和随机噪声与测量数据中的真实高频信息一起平滑过滤的局限性问题。
The support vector approach learns a parsimonious regression model from the given data to avoid the data over-fitting problem.
支持矢量回归方法可以在给定的资料中生成一个简洁的回归模式，以避免常规机器学习法中的资料过度学习问题。
The support vector approach learns a parsimonious regression model from the given data to avoid the data over-fitting problem.
支持矢量回归方法可以在给定的资料中生成一个简洁的回归模式，以避免常规机器学习法中的资料过度学习问题。
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