之后，算法会生成每一次猜测的统计权重，帮助计算机“学习”什么才是正确的答案。
The algorithm then gives a statistical weight to each guess that helps the computer "learn" what the right answer is.
在一个实施例中，机器学习算法生成贝叶斯网络。
In one embodiment, the machine learning algorithm generates a Bayesian network.
一个好的集成学习算法，关键是能生成差异度大的个体分类器。
The key of a good ensemble learning algorithm is able to generate the diversity of individual learners.
该算法能基于双语语料，通过机器学习来自动进行语义聚类，生成词间相似度矩阵。
Based on bilingual corpora, the algorithm can produce words-similarity-matrix through machine learning.
因此，学习基本图形的生成算法是掌握计算机图形学的基础。
As a result, the basic learning algorithm to generate the graphics is a master computer graphics.
同时，递增式决策函数生成算法从根本上解决了多类决策的递增式学习问题。
At the same time, the question of learning about multi-classes is solved in essence by using the incremental generating decision function.
最后，论文给出了基于该知识模型的自适应知识点推荐和个性化学习页面生成的算法设计和实现结果。
At last, this paper gives the arithmetic design and the realization of the self-adaptive knowledge recommendation and individually learning pages compose.
采用RIPPER学习算法构造分类器及生成策略。
We also use RIPPER to produce strategy and construct classifiers.
对此，本文改进了R BF神经网络的学习算法，提出了一种基于聚类的动态自生成隐含层节点的思想。
As for it, by improving learning algorithm of traditional RBF neural network, a new dynamic cluster-based self-generated method for hidden layer nodes is proposed.
通过离线的迭代算法生成高精度的样本点来训练神经网络，使用动量法、变学习率法和共轭梯度法提高BP网络的收敛速度。
Methods based on BP neural network and RBF neural network were studied to solve inverse kinematics. The training samples were obtained through off-line numerical method with high precision.
通过离线的迭代算法生成高精度的样本点来训练神经网络，使用动量法、变学习率法和共轭梯度法提高BP网络的收敛速度。
Methods based on BP neural network and RBF neural network were studied to solve inverse kinematics. The training samples were obtained through off-line numerical method with high precision.
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