The algorithm optimizes the flow of inter mode of macro-block decision algorithm.
算法优化了宏块帧间模式选择算法的流程。
To reduce the complexity of inter prediction, a fast inter mode decision algorithm is proposed.
针对帧间编码模式的复杂性，本文提出一种快速模式判决算法。
The design of bit decision algorithm is a key technique for the DS spread spectrum sequence to be received correctly.
码元判决算法的设计是扩频序列能被正确接收的关键技术之一。
Combining this method with the K-nearest neighbor decision rule, a fixed neighborhood, decision algorithm is developed.
将该方法与K—最近邻判决规则结合，提出了用于判别的固定邻域判决算法。
For the purpose of decreasing high computational complexity of mode decision in SVC, a fast mode decision algorithm is proposed.
针对SVC模式决策的高计算复杂度问题，提出了一种快速模式决策算法。
Secondly, a two-point rate-distortion optimized joint base layer and enhancement layer mode decision algorithm is proposed for PFGS.
其次，提出了基于PFGS的两点率失真优化的联合基本层和增强层模式选择算法。
To simplify the computational complexity in mode selection process for H. 264, a fast mode decision algorithm is proposed in this paper.
针对H . 264中模式选择计算复杂度高的问题，提出一种快速模式选择算法。
As the requirement of modern equipment maintenance, this paper proposed a novel synthetical intelligent supportability route decision algorithm.
该文通过对装备维修现状和未来需求，提出了一个全新的综合智能保障路径决策方法。
Aiming at these problems, a new decision algorithm for image matching decision is proposed which USES the truncation of the feature point sequence.
针对上述问题，提出一种新的图像匹配判决算法——利用特征点序列截断的匹配判决。
The Rough Set Theory can handle such problems as data reduction, data mining, the evaluation of attribute importance, the formation of decision algorithm etc.
利用粗集理论处理的主要问题包括：数据简化、数据相关性的发现、数据意义的评估、由数据产生决策算法等。
To solve this problem, a new algorithm namely many-to-one matching decision algorithm based on correction of perturbation for matching measure matrix is proposed.
为此，提出了一种新的匹配判决算法——基于匹配度量矩阵扰动校正的多对一匹配判决算法。
Based on rough logic, theorems is presented, whether attribute reduction and minimal decision algorithm change or not when a new instance is added to the universe.
以粗糙逻辑为基础，首先给出了在新实例加入论域后判断约简变化与否以及判断原极小决策算法中决策规则变化与否的判定依据。
According to the characteristics of MAI in CDMA systems, a multi user detector is designed by a new hard decision parallel decision algorithm for MAI cancellation.
针对多址干扰信号的特点，研究了一种改进的硬判决并行干扰多用户检测器。
The group decision algorithm based on GLRT principle was utilized to estimate correlation template through all data frames in detection window and could offer better noise suppression.
分组判决算法利用检测窗内所有数据帧，在广义似然比准则下对相关模板进行联合估计，进一步压制了模板噪声。
According to the requirements of high reliability and anti-jamming capability for proximity fuze, the PN code modulator scheme and the selecting 7 in 20 decision algorithm are proposed.
根据无线电近炸引信的高可靠和抗干扰能力要求，提出采用“20判7”的判决算法和伪码调制的终端方案。
Experimental results show that the speed of the proposed method is about 2 -4 times faster than the full-mode decision algorithm without any noticeable loss of image quality and coding efficiency.
实验表明，与全模式选择算法相比，采用该算法编码速度可以提高2 ~4倍，而且重建质量和编码效率损失极小。
Then, according to the features of the generalized information table, the algorithms of acquiring minimal attribute reduction, attribute value reduction and minimum decision algorithm are put forward.
首先介绍了决策表、广义信息表的构造及特点，然后给出了求决策表的最小属性约简及最小决策算法的计算方法。
Classification (also known as classification trees or decision trees) is a data mining algorithm that creates a step-by-step guide for how to determine the output of a new data instance.
分类(也即分类树或决策树)是一种数据挖掘算法，为如何确定一个新的数据实例的输出创建逐步指导。
In order to plan ahead for multiple moves, an algorithm known as a markov decision process is commonly used when there are only a reasonably small group of possible world states.
为了计划后面多个步骤，当可能的世界状态数目不算太多时，通常用到一种被称作马尔科夫决策过程的算法。
Throw in that every creative decision is influenced by the studio marketing department’s mathematical algorithm for what the audience wants, and you end up mostly with a watered-down product.
鉴于每一个创意的决定都受到制片厂市场部有关观众喜好数字统计的影响，你最终基本只能收获到缩水的产品。
This paper proposes an efficient algorithm for constructing decision tree and then mapping it to neural net.
本文提出一个有效的算法，先构造决策树，然后将构造的决策树转换为神经网。
The algorithm with a constraint self-regulation constitutes the kernel of qualitative decision.
其中约束自调整方法构成了定性决策算法的核心。
Experiment is the traditional method for analysing multivalue BIOS of decision tree algorithm, but it has a fault that we must have the expertise of the specific field.
实验方法是分析决策树算法中的多值偏向问题的传统方法，其缺点是需要具备该数据领域的专家知识。
Decision tree algorithms are applied to the data mining of the mammography classification, proposes a medical images classifier based on decision tree algorithm, the experiment results are given.
利用决策树算法对乳腺癌图像数据进行分类，实现了一个基于决策树算法的医学图像分类器，获得了分类的实验结果。
CONCLUSIONS: the more identical of the algorithm to the actual human decision behavior, the more practical for the programme to replace human in the operation.
结论：算法模拟人的决策行为的拟合系数越高，则其代替人操作的实用性就越大。
Induction learning of decision tree based on ID3 algorithm is an important branch of inductive learning now, which can be used to automatic acquisition of knowledge.
基于ID 3算法的决策树归纳学习是归纳学习的一个重要分支，可用于知识的自动获取过程。
Second, this paper proposes a new decision tree algorithm, AF algorithm, which avoids multivalue bios.
提出了一种避免了多值偏向问题的决策树算法——AF算法；
Second, this paper proposes a new decision tree algorithm, AF algorithm, which avoids multivalue bios.
提出了一种避免了多值偏向问题的决策树算法——AF算法；
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