The algorithm used by the JDK for incremental collection, the Train algorithm, creates a new section of the heap between the old and young generations.
Train算法是JDK用于增量收集的算法，它在堆中老的代和年轻的代之间创建一个新区域。
This paper proposes an incremental algorithm for the new reduction model.
当网络发生动态变化时，启动文中提出的增量算法来更新网络。
An incremental learning algorithm using multiple support vector machines (SVMs) is proposed.
给出了使用多支持向量机进行增量学习的算法。
Presents an improved incremental learning algorithm based on KKT conditions.
提出了一种改进的基于KKT条件的增量学习算法。
According to the practical context, this thesis raises a kind of hybrid data cube model and its query and incremental update algorithm.
另外根据实际应用背景，提出了一种混合数据立方体模型，并给出了其相应的查询和增量更新算法。
The paper presents an algorithm for incremental mining which is based on pattern decomposing tree and has no need for scanning old data base.
本文提出了一个基于模式分解树，不需要扫描原数据库的增量挖掘算法。
Segmentation is a typical data sampling time interpolation algorithm, it has a number of advantages compared with pulse incremental interpolation method.
时间分割是典型的数据采样插补算法，它较之脉冲增量插补法有一系列优点。
The algorithm combines active learning, biased classification and incremental learning to model the small sample biased learning problem in relevance feedback process.
该算法将主动式学习、有偏分类和增量学习结合起来，对相关反馈过程中的小样本有偏学习问题进行建模。
This algorithm accumulates distribution knowledge of the training sample while the incremental training is proceeded, and thus makes it possible to discard samples optimally.
该算法通过在增量学习中逐步积累样本的空间分布知识，使得对样本进行有选择地遗忘成为可能。
But, if we need recalculate rules from all data to mine knowledge after updating the database, it will consume massive resources, which causes the urgent demand of the incremental mining algorithm.
但是，如果在数据库更新之后要对全部数据重新进行挖掘，需要消耗大量的资源，这导致对增量挖掘算法的迫切需求。
This algorithm is fast, incremental learning, and it takes less support vectors!
本算法具有速度快、增量学习、使用的支持向量少等显著优点。
Provides a practical updating algorithm for negative incremental association rules in which the size of data sets is reduced, with the supporting and confidence limits unchanged.
提出了一种实用的在支持度和置信度不变的情况下数据集规模减小的负增量关联规则更新算法。
The model increment annexation algorithm was devised to annex the incremental model onto primary geometric model at the client to form the modified collaborative CAD model.
设计出增量模型聚合算法，利用该算法将增量模型聚合到客户端原有几何模型上形成修改后的协同CAD模型。
Gradient descent algorithm is an efficient method to train FNN, and it can be realized in batch or incremental manner.
梯度下降算法是训练多层前向神经网络的一种有效方法，该算法可以以增量或者批量两种学习方式实现。
Some basic concepts and the essential control equations of non incremental algorithm based on the optimal control variational principle in mechanics are presented in this paper.
在非增量算法的基础上，提出了用最优控制变分原理来形成非增量迭代求解的基本思路，并给出了求解的基本控制方程。
Finally, incremental algorithm of producing concept lattice is used to carry on concept clustering to the passage of search results, and produced the theme of each cluster result from it.
最后，使用增量式的概念格生成算法对搜索结果片段进行概念聚类，并从中产生每个聚类的主题。
At present, the incremental formation algorithm of concept lattice has behaved strong vitality and flexibility.
现在概念格的渐进式构造算法表现出了更强的生命力和适应性。
A new geometric fast incremental learning algorithm for support vector machines (SVM) was proposed.
提出了一种新的基于壳向量的增量式支持向量机快速学习算法。
This paper firstly introduces the classification of incremental clustering algorithms and the research state, defines the concept of algorithm equivalence.
本文首先介绍了增量聚类算法的分类以及研究现状，提出了增量聚类算法等价性概念；
The model simplification algorithms can be divided into four main categories: vertex clustering, incremental simplification, the sampling algorithm and adaptive subdivision.
根据简化算法的简化方式可将其分为四大类：顶点聚类算法、增量式简化算法、采样算法和自适应细分算法。
The authors introduced an incremental updating algorithm for computing core based on improved discernibility matrix, which mainly considered core updating when objects dynamically increased.
在此基础上提出一种基于改进差别矩阵的核增量式更新算法，主要考虑对象动态增加情况下核的更新问题。
An improved incremental updating algorithm SFUP is developed based on study of the principle and efficiency of FUP algorithm.
通过对挖掘关联规则增量更新中FUP算法的关键思想以及性能进行了研究，提出了改进的FUP算法SFUP。
To combine the attribute reduction algorithm and the incremental training algorithm of support vector machine, a support vector machine classifier based on rough set is constructed.
将属性约简算法和支持向量机增量训练算法相结合，构造基于粗糙集数据预处理的支持向量机分类器。
In order to extend common incremental learning algorithms into a parallel computation setting, an incremental learning algorithm with multiple support vector machine classifiers is proposed.
为了将一般增量学习算法扩展到并行计算环境中，提出一种基于多支持向量机分类器的增量学习算法。
In order to promote efficiency and extend applicability of the online synchronous sketch recognition, a sketch recognition algorithm based on incremental intention extraction is presented.
针对同步在线草图识别算法中的效率和应用范围问题，提出基于增量式意图提取的识别算法。
The new JIT purchasing model is discussed respectively with all unit quantity discounts and incremental quantity discounts, also the paper gives the algorithm and example for the model.
分别研究了全单位数量折扣和累进制数量折扣两种情况下的JIT采购，给出了模型的算法和算例。
After analysis of em algorithm, we presented a new cooperative training algorithm based on incremental learning.
本文在分析了EM算法的基础上，提出了一种新的协同训练算法。
In this paper, we extract rules of the decision table by an incremental algorithm for the dynamic decision table of the time series data.
本文对数据成时间序列的动态决策表，用增量式算法提取决策表的规则模型。
In this paper, we extract rules of the decision table by an incremental algorithm for the dynamic decision table of the time series data.
本文对数据成时间序列的动态决策表，用增量式算法提取决策表的规则模型。
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