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。
In one embodiment, the machine learning algorithm generates a Bayesian network.
在一个实施例中，机器学习算法生成贝叶斯网络。
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？
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。
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。
This book shows the core of the machine learning algorithm and theory, and illustrates the operation of the algorithm.
这就是机器学习的目的。本书展示了机器学习中核心的算法和理论，并阐明了算法的运行过程。
"Machine learning" shows the core of machine learning algorithms and theory, and illustrates the algorithm is running.
非常经典的机器学习的英文原版。《机器学习》展示了机器学习中核心的算法和理论，并阐明了算法的运行过程。
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。
Support vector machine is a new machine learning algorithm, based theoretically on statistic learning theory created by Vapnik.
为了系统地归纳统计学习理论与支持向量机的基本思想和算法，总结目前该领域的最新研究成果。
A simple machine learning algorithm called logistic regression can determine whether to recommend cesarean delivery Mor-Yosef et al.
一个简单的机器学习算法逻辑斯地回归能够决定是否推荐剖腹产Mor - Yosefet al。
Based on the infrared feature database of the scene, a machine learning algorithm is applied to realize the IR scene real-time simulation.
为实现红外场景实时仿真，以场景的红外特性数据库为基础，将机器学习算法引入到仿真之中。
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。
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。
For more effective meteorological data mining, this thesis introduces the quotient space granular computing theory, grey model, structural machine learning algorithm and so on.
为了更加有效地进行瓦斯数据挖掘，本文引入了商空间粒度计算理论、灰色模型、覆盖算法等。
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。
The method of product feature extraction and analysis can be divided into supervised machine learning methods, semi-supervised machine learning algorithms and unsupervised machine learning algorithm.
产品评价对象的提取与分析的方法主要分为有监督的机器学习方法、半监督的机器学习算法、无监督的机器学习算法。
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。
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。
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。
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。
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。
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。
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。
应用推荐