This thesis presents a data generalization algorithm based on data cube. The algorithm can clean the data for data mining and im-prove efficiency of data mining.
该文提出了一种基于数据立方体的数据泛化算法用于数据预处理，能够为数据挖掘提供良好的数据环境，提高数据挖掘的有效性。
After speed of statistical convergence and MSE (Mean Square Error) of these algorithms are compared, Bayes Generalization algorithm is assessed to be the most appropriate.
在比较收敛速度和均方差后，确定选用贝叶斯正则算法建立模型。
On the other hand, a more flexible algorithm might not have made that same generalization with the bias toward a certain type of functions.
另一方面，一个更灵活的算法可能对某些类型的函数不会做出有类似倾向性的概括。
The generalization of set cover greedy algorithm is used to solve the redundant test set problem arising in bioinformatics.
集合覆盖贪心算法的推广被用来求解生物信息学中出现的冗余测试集问题。
Ensemble learning is a research hotspot in machine learning, which can improve generalization performance of classification algorithm.
集成学习是当前机器学习的一个研究热点，它可以提高分类算法的泛化性能。
The model is a generalization of conventional binary tree algorithm.
模型是传统的二元树形算法的推广。
The simulation result is that the Fuzzy forward neural networks which is trained by this algorithm have good non-logic generalization and feature extraction ability, as well as fast learning speed.
模拟结果表明利用该算法训练的模糊层次神经网络具有较好的非逻辑归纳能力和特征抽取能力，并且学习速度也大大加快。
The simulation results of optimizations to structure parameter, algorithm parameter and fuzzy judgement show that generalization ability of network have been great improved.
大量实验结果表明，对系统的结构参数、算法参数、模糊判决等方面的分析和优化进一步提高了系统的泛化能力。
The algorithm improves the generalization performance of feedforward neural networks through combining the regularization and pruning technology.
正则最小二乘算法将正则化网络和节点删除算法结合起来，大大提高了前馈网络的泛化性能。
With limited samples, SVM has stronger ability of generalization in comparison with existing machine learning algorithm.
与现有的机器学习算法相比，在样本有限的情况下，支撑矢量机具有更强的分类推广能力。
The paper used the Bayes regularization algorithm to train the BP network, the precision and generalization of which are better than the network that uses ordinary training algorithms.
本文采用贝叶斯规则化的训练方法，训练好的BP网络较常用的训练方法具有更好的精度和泛化能力。
The simulation results validate that the adopted predictive model has better anti-disturbance and generalization abilities, and the predictive control algorithm can realize the control objects.
仿真结果验证了所采用的预测模型具有比较好的抗干扰能力和泛化能力，预测控制算法能够实现控制目标。
And it is the generalization of the traditional 3d reconstruction algorithm based on model from calibrated single view.
它是传统的用已标定单视图的基于模型的三维重建算法的推广。
An algorithm of attribute generalization is introduced.
引入了属性泛化的算法。
Numerical experiments show that the improved Convex Hull-based training data selection algorithm reduces the training time, maintains a good generalization ability and has some reference value.
数值实验表明，改进的基于凸壳的训练数据选取算法缩短了训练时间并保持了良好的泛化能力，具有一定的参考价值。
The support vector machine (SVM) is an algorithm based on structure risk minimizing principle and high generalization ability.
支持向量机(SVM)是一种基于结构风险最小化原理，具有很好推广性能的学习算法。
This paper discusses the algorithm of building polygon automatic generalization and takes into account the orthogonal characteristics of urban building.
介绍了一种城市地图中基于建筑物矩形几何特征的多边形全自动综合算法。
Adopts a classifier support vector machine which is a very good training algorithm, which can acquire very good generalization when the training datum are very few.
文中采用的分类器——支持向量机是一种能在训练样本数很少的情况下达到很好分类推广能力的学习算法。
The recent developments and achievements on the learning theory: stability and generalization of learning algorithm are reviewed in this paper.
本文综述学习理论的新进展：学习算法稳定性与泛化性的近期研究结果。
The gravity localization based on the ICCP algorithm and its generalization can be used to bind the position errors inherent in dead-rocking navigation, which increase with time.
基于ICCP算法的重力匹配定位可以用于限制推算定位随航行时间增长的位置误差。
The experiments show that the algorithm has higher generalization performance, and lower time and space complexity. It is a highly effective ensemble algorithm.
实验结果表明，该算法具有较高的泛化性能和较低的时、空复杂性，是一种高效的集成方法。
This paper proposed a selective Support Vector Machine (SVM) ensemble algorithm based on double disturbance to improve the generalization ability of SVM.
为了进一步提升支持向量机泛化性能，提出一种基于双重扰动的选择性支持向量机集成算法。
This paper proposed a selective Support Vector Machine (SVM) ensemble algorithm based on double disturbance to improve the generalization ability of SVM.
为了进一步提升支持向量机泛化性能，提出一种基于双重扰动的选择性支持向量机集成算法。
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