machine learning的例句大全

Inductive logic programming was defined as the intersection of machine learning and logic programming.

归纳逻辑程序设计是机器学习与逻辑程序设计的交叉领域.

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Google Translate and other machine applications seem to be eroding one justification for learning languages, by performing-adequately, if not perfectly-some of the basic functions of translation.

Google翻译和其他机器程序在翻译一些基本用语时的表现，就算不够完美，也足够好了，这似乎削弱了人们学习外语的一个理由。

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The Researches of Application Techniques on Machine Learning with Evolutionary Computation

进化计算在机器学习中的应用研究

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An amendatory dynamic bargaining system based on machine learning is presented in this dissertation.

本文针对已有议价模型缺乏学习机制的不足之处，提出了改进的基于机器学习的动态议价模型（MLDBS）。

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Study on Point Cloud Processing Based on Kernel Machine Learning Method

基于核机器学习方法的点云处理若干方法研究

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Research on Machine Learning Method for Software Autonomy System

关于软件自动化系统中的机器学习方法研究

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Mind Evolution Based Machine Learning Framework and New Development

基于思维进化机器学习的框架及新进展

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Traditional methods based on machine learning and statistics require lots of training samples to train classification model. If categories are changed, we need to re-collect training samples, which is time-consuming and laborious.

传统的基于统计和机器学习的分类方法需要大量的训练集来训练分类模型，如果类别改变需要重新收集大量的训练集合，费时费力。

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BVM ( Ball Vector Machine) is a faster machine learning algorithm than SVM.

球向量机是一种比SVM更快的机器学习方法。

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Smart Machine Some Aspects of Machine Learning Cocurrent Engineering

聪明的机器

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Relevance Feedback and Support Vector Machine learning are introduced into the contend-based image retrieval system. We also compare DTW GSVM results to UFM GSVM's which proves that the algorithm of DTW GSVM is effective.

在基于内容的图像检索原型系统中引入了相关反馈和支持向量机，并将DTW+GSVM算法与UFM+GSVM算法比较，验证了该算法的有效性。

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It is the key point of the support vector machine ensemble learning algorithm about how to work out much more effective ensemble learning algorithms.

如何设计出更有效的支持向量机集成学习实现算法，是目前支持向量机集成学习的关键问题。

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Two mining algorithms are used, Decision Tree and Naive Bayes, to build the predictive model from a dataset provided by UCI Machine learning and repository for machine learning and intelligence system.

同时选择了两个数据挖掘算法，分别是决策树和朴素贝叶斯算法，利用机器学习和智能系统的UCI机器学习资源库提供的数据集建立预测模型。

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In response to these problems, this paper combined bidirectional extreme learning machine with online sequential extreme learning machine for power transmission line deicing robot system approximation, and then fuzzy neural network is designed as a robot controller.

针对上述问题，本文结合双端极限学习机与序贯极限学习机对高压输电线路除冰机器人进行系统辨识，然后再利用模糊神经网络作为系统控制器。

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The experiment data set are also from the UCI machine learning repository.

实验数据集同样来自UCI机器学习库中随机抽取的数据集。

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Lie Group Machine Learning ( LML) inherit the advantages of manifold learning method and make full use of the Lie group's structure of algebraic and geometry in mathematics.

李群机器学习（LML）既继承了流形学习的优点，又充分利用了李群的代数结构和几何结构的数学本质，自提出以来就引起了许多研究者的关注。

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It is one of the more established machine learning techniques, which means that it has found some practical application in consumer products-such as Apple's Face ID, which allows a user to unlock his or her iPhone by looking at it, or Facebook's tools, which can recognize users in uploaded images.

这是一种更成熟的机器学习技术，这意味着它已经在消费产品中找到了一些实际的应用方式——比如苹果的Face ID，它允许用户看着iPhone将其解锁，或者可以在上传图像中识别用户的Facebook工具。

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This paper researches into the actual machine learning system taking advantage of the idea of evolutionary computation, and realizes the multi goal optimization technique by applying the implicit parallelism mechanism and the parallel rule triggering strategy.

采用进化计算思想研制机器学习实际系统，利用隐含并行机制及并行规则触发策略实现多目标优化技术。

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In this article, kernel functions are formally discussed in mathematical terms and two of the kernel based learning algorithms: Support Vector Machine ( SVM) and Kernel Fisher Discriminant Analysis ( KFD) are introduced and applied to handwritten digits recognition.

本文首先从数学上形式化地讨论了核函数的基本理论及其性质，然后着重讨论了支持向量机与核Fisher鉴别两种基于核的学习算法及其在手写体数字识别中的应用。

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Irregular polygon features extraction, image segmentation and machine learning method are studied in this thesis supported by the project. The corresponding modules of ELU system is also designed and implemented according to the study.

本文结合该项目而进行，对不规则目标地物提取、图像分割、机器学习等问题进行研究，并完成了ELU系统中对应模块的设计和实现。

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