unsupervised的例句大全

Sources number estimation and blind separation algorithm based on unsupervised learning

基于无监督学习的源数估计及盲分离算法

An Unsupervised Learning Algorithm Based on Classification Weight and Mass Center Driving

基于分类权与质心驱动的无监督学习算法

Supervised manifold learning. Manifold learning algorithms are mostly unsupervised methods.

有监督流形学习目前流形学习方法大都是无监督学习，可以很好地实现数据的降维和可视化。

Unsupervised learning based for part of speech disambiguation in English Chinese machine translation

英汉机译中一种基于无监督学习的词类消歧策略

Multiple Attribute Information Decision Making Mode and Application Via Improved Fast Unsupervised Learning Algorithm

多属性信息决策的改进无监督学习算法建模与应用

Semi-supervised learning flourishes as it can circumvent the limitations of unsupervised learning and supervised learning.

半监督学习的蓬勃发展规避了无监督学习和监督学习的局限性。

Constrained clustering and transductive learning mainly deal with learning problems between unsupervised learning and supervised learning.

约束聚类和约束分类主要处理学习问题的方式间于无监督学习和监督学习。

The traditional cluster is unsupervised learn-ing, that is, it does't need the prior knowledge.

传统的聚类是无监督学习，也就是说不需要先验知识。

From a machine learning perspective clusters correspond to hidden patterns, the search for clusters is unsupervised learning.

从机器学习的观点来看，类相当于隐藏模式，寻找类是无监督学习过程。

As an unsupervised learning method, cluster analysis is one of the most important research fields in machine learning.

聚类分析作为一种无监督学习方法，是机器学习领域重要研究方向之一。

The supervised and unsupervised learning diagnosis methods are discussed and several improvements have been presented in the learning algorithms.

本文对模拟故障诊断的有监督学习和无监督学习方法分别进行了研究，通过对实现过程的分析，对经典的学习算法进行深入研究，并提出若干改进。

Unsupervised learning is used to adjust input weight values and supervised learning is utilized to adjust output weight values.

学习过程中，采用无监督学习算法对输入权重进行调整，采用有监督学习算法对输出权重进行调整。

The process of clustering is dividing the not training samples into different meaningful class clusters, which belongs to unsupervised learning.

聚类过程是将没有训练样本的数据集划分为有意义的不同类，属于无监督学习。

As an important unsupervised learning algorithm without pre-marked samples in machine learning, clustering has been well developed in recent years.

聚类作为机器学习中一种重要的无监督学习算法，具有无需事前标记样本类型等优点，在近些年得到了很好地发展和应用。

The pre-knowledge of the probability density function is used in the noise sample's classification, clustering and unsupervised parameter estimation.

通过对噪声样本进行数据挖掘和模式识别，在线学习噪声的实时特性，获得其概率密度函数的先验知识，应用此先验知识进行样本聚类、分类、无监督学习并对噪声参数进行精确估计。

The traditional clustering is based on unsupervised learning mechanism, partitioning objects on the basis of a specific distance or similarity.

传统的聚类算法基于无监督学习机制，仅依据某种特定的距离或相似度进行划分。

The paper presents an unsupervised learning algorithm to learn answer pattern for answer extraction module of Chinese Question Answering ( QA).

本文提出了一种基于无监督学习算法的问答模式抽取技术从互联网上抽取应用于汉语问答系统的答案模式。

Classification accuracy of unsupervised learning algorithm is usually not satisfactory, so people tend to make use of supervised learning in practice.

由于无监督学习的准确率通常不能令人满意，在实际应用中人们趋向于运用有监督方法。

The paper puts forward the method that based on the neural network unsupervised learning, also, improves the index on separation effects.

提出基于神经网络无监督学习的盲分离方法，并改进了分离效果评判指标。

Currently, there are so many research on machine learning algorithm, and machine learing algorithm can be divided into supervised and unsupervised.

目前基于机器学习算法的研究较多，大致可以分为有监督和无监督学习两类。