unsupervised

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。

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。

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 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 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。

We perform unsupervised classification to hyperspectral image by Gaussian mixture modeling, estimate the parameters of the mixture model using the expectation maximization ( EM) algorithm in merged operations to data after PCA linear projection, and select the number of components according to the proposed criterion.

分类过程中，论文采用期望最大化（Expectation maximization）算法在合并的策略下对PCA变换后的数据求解混合模型，并应用所提出的准则进行模型选择从而确定待分类的类别数。

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。

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 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 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。

Today most computer translation systems are built with unsupervised training.

今天，大多数计算机翻译系统是用非监督学习训练建造的。

If you see a door that has been left open and unsupervised, please close it.

如果看到一扇门未关且无人在内, 请将它关上.

Experimental results show that this new classifier can realize high quality unsupervised image classification, which outperforms the traditional K means classifier.

实验结果表明，该种分类器能很好地实现对纹理粗糙程度模式的无监督分类，其分类性能要明显好于传统的K均值分类器。

However, the intercept and capture of pluses usually lack the number of pluses categories. So radar emitter orientation information sorting belongs to the unsupervised clustering typically.

由于无法确切知道截获的脉冲流类别数目，辐射源方向信息分选本质上属于典型的无监督分类问题。

In this paper , the framework of network intrusion detection technology Based unsupervised outlier detection is discussed.

讨论了基于无指导离群点检测的网络入侵检测技术及实现框架.

On the other hand, the watchful limit and the switching control for running state in the network were introduced, which combined the ART2 network's unsupervised training ability.

另一方面结合ART2神经网络无师学习的特点，引入了网络警戒门限和运行状态切换控制。

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。

A remote sensing image unsupervised classification method in combination with textural features is proposed.

主要工作成果如下：1.提出了一种结合纹理特征的遥感图像非监督分类法。

The suburban children who died were generally unsupervised and had migrant parents, according to education authorities.

病亡的孩子住在郊区,父母是来沪打工的民工.

This paper introduces the histogram approximation method Criterion ( BIC ) into unsupervised change detection.

本文引入图像直方图拟合方法来确定变化阈值.

The inundated area is estimated by supervised and unsupervised classification;

通过监督分类和非监督分类估算了洪水淹没范围；

Unsupervised hyperspectral image classification method based on constrained linear discriminant analysis

基于约束线性判别分析的非监督高光谱影像分类方法

We attempt to learn the robust manifold learning algorithm for different applications by three approaches of de-noising, supervised learning, and unsupervised learning.

分别从除噪、监督学习、无监督学习三个方面入手，研究能适应不同应用场景的健壮流形学习算法。

I'll focus on the two most commonly used ones supervised and unsupervised learning because they are the main ones supported by Mahout.

我将重点讨论其中最常用的两个监管和无监管学习因为它们是Mahout支持的主要功能。

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。

With the deep research of the polarimetric SAR ( Synthetic Aperture Radar) image classification, many supervised and unsupervised classification methods have been proposed one after another in recent years.

随着对极化SAR（synthetic Aperture Radar）图像分类研究的深入，近年来许多监督和非监督分类方法被相继提出。

Unsupervised Texture Segmentation Based on Dynamic Pyramid Label Random Field Modeling

基于动态金字塔标记随机场模型的非监督纹理分割算法

An unsupervised segmentation method for immune cell image

一种免疫细胞图像非监督分割方法

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。