How do you know what machine learning algorithm to choose for your classification problem?
如何针对某个分类问题决定使用何种机器学习算法？
But the new method is the first to predict the outcomes of court cases by automatically analysing case text using a machine learning algorithm.
但是，这一新途径是首次通过机器学习算法自动分析案件文本，来预测法庭判决结果。
The scene is different, the detection accuracy is different, the user can put the safety cost is different, the machine learning algorithm is not the same.
场景不同，需要的检测精度不同，企业用户可以投入的安全成本不同，选用的机器学习算法也不相同。
A simple machine learning algorithm called naive Bayes can separate legitimate email from spam email.
一个简单的机器学习算法，朴素贝叶斯算法可以把正规邮件从垃圾邮件里面分离出来。
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 support vector machine is a learning algorithm, which has a good classification ability for limited training samples.
支撑矢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。
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 this paper, we proposed a parallel BP neural network learning algorithm with the support of PC cluster under the circumstance of PVM (parallel Virtual Machine).
本文提出了一种利用微机机群来实现并行处理，在并行编程环境P VM中实现BP神经网络的并行学习算法。
And a machine learning algorithm was proposed to handle the assignment of secondary accent.
而次重音的标注完全通过机器学习算法来进行。
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。
This is the most important part of any machine learning algorithm.
这是任何机器学习算法中最重要的部分。
This is not only conducive to the promotion of this algorithm, but also more machine learning researchers can communicate and learn each other.
这样不仅有利于本算法的推广，也能与更多的机器学习的研究者进行交流和学习。
In recent years, support vector machine algorithm is widely used on the issue of learning of retrieval function (ranking function) and performs excellently.
近年来，支持向量机算法被广泛地用于检索函数(排位函数)学习问题上且应用性能卓越。
The algorithm is shown to be an evolutionary strategy capable of solving complex machine learning tasks, like multimode optimization.
这种革新算法能关于机器学习解复杂问题，实例结果表明，克隆选择算法对多峰值寻优问题有优良能力。
Simulation machine car through reinforcement learning algorithm, learning optimal navigation strategies.
说明：模拟智能机器小车，通过强化学习算法，学习最优导航策略。
The support vector machine based on statistical learning is a new type of machine learning algorithm, which has become the hot spot of academic study because of its excellent learning performance.
基于统计学习理论的支持向量机是一类新型的机器学习算法，由于它出色的学习性能，该技术已经成为当前学术界的研究热点。
QVM is our proprietary technology that detects malware through an artificial-intelligence algorithm capable of machine learning to recognize new forms of malware.
QVM是我们的专有技术，人工智能算法检测恶意软件，通过机器学习的能力，以表彰新形式的恶意软件。
Support Vector Machines(SVMs)is an algorithm of machine learning, which was widely used in many fields abroad.
支持向量机是一种机器学习算法，在国外已广泛应用于工程实践领域。
Based on bilingual corpora, the algorithm can produce words-similarity-matrix through machine learning.
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。
The algorithm of decision trees is well known due to simpleness and easy to realize in machine learning.
在各种机器学习算法中，决策树以其简单容易实现等特点被认可。
As one algorithm of the machine learning based on the statistical learning theory, Support Vector machine (SVM) is specifically to the small samples learning case.
支持向量机是一种基于统计学习理论的机器学习算法，能够较好地解决小样本的学习问题。
After many researches, the thesis represents a novel algorithm to extract text from natural scenes, which is based on machine learning.
本文经过大量研究，提出了一种基于学习的自然场景中文本提取算法。
This paper presents an adaptive and iterative support vector machine regression algorithm (CAISVR) based on chunking incremental learning and decremental learning procedures.
文中基于块增量学习和逆学习过程，提出了自适应迭代回归算法。
Absrtact: SVM (support vector machine) algorithm is the newest branch of statistic learning theory.
摘要：支持向量机(SVM)算法是统计学习理论中最年轻的分支。
For the support vector machine based learning algorithm of classifier, it is very importance for the support vector to be pre-selected.
在基于支撑矢量机的分类器学习算法中，预先选择支撑矢量是非常重要的。
Based on the traditional support vector machine (SVM) for regression, a new learning algorithm of the improved SVM for regression is presented in this paper.
该文对用于回归估计的标准支持向量机(SVM)加以改进，提出了一种新的用于回归估计的支持向量机学习算法。
Support vector machine is a kind of machine learning algorithm based on statistical learning theory which mainly researches the learning of limited number of samples.
支持向量机是一种基于统计学习理论的机器学习方法，该理论主要研究在有限样本下的学习问题。
Discretization algorithm for real value attributes is of very important USES in many areas such as intelligence and machine learning.
连续属性离散化方法在人工智能、机器学习等很多方面具有重要应用。
This paper's main works is that: learning algorithm studies of support vector machine, mathematical model and application about feature selection, convergence analysis of clustering algorithm.
本文主要致力于支持向量机、近似支持向量机的学习算法研究，特征提取的数学模型与算法的改进及其应用，聚类分析算法的收敛性证明。
This paper's main works is that: learning algorithm studies of support vector machine, mathematical model and application about feature selection, convergence analysis of clustering algorithm.
本文主要致力于支持向量机、近似支持向量机的学习算法研究，特征提取的数学模型与算法的改进及其应用，聚类分析算法的收敛性证明。
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