Semi-supervised clustering is to use a small amount of labeled samples and unlabeled samples to guide the clustering process.

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。

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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。

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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。

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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。

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We can derive a self-organizing learning algorithm that maximizes the information transferred in a network of nonlinear units.

信息最大化方法将信息理论与神经网络相结合，根据使网络中所传递的信息量最大，推导出一种无监督学习准则。

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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。

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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。

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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。

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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

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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

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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。

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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

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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

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Research of Blind Source Separation Technology which Based on Unsupervised Learning

基于无监督学习的盲信号源分离技术研究

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The methods of BSS and ICA are belong to a class of unsupervised learning algorithm, its algorithm theory and practical application are related the optimization of a number of areas of mathematics and neuroscience.

目前，ICA已经成为盲源分离的主流方法。BSS与ICA都属于一类无监督学习算法，他们的算法理论与实际应用涉及到优化数学和神经科学等多个领域。

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Decision improving of unsupervised SVM for fault identification

一种改进的无监督学习SVM及其在故障识别中的应用

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"Unsupervised Learning of Disambiguation Rules for Part of Speech Tagging." Workshop on Very Large Corpora, p.1995. ( PDF)

词类标注的消歧规则的无监督学习〉。《超大规模语料专题讨论会》，1995年。（PDF）

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In the algorithm, improved genetic algorithm ( GA) was used to optimize the parameter, and unsupervised learning Kohonen neural network was used to cluster the parameter.

在算法中，运用改进的遗传算法（Genetic Algorithm，GA）进行参数的优化，运用无监督学习的Kohonen神经网络进行参数的聚类。

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Research on Domain-Specific Term Extraction Based on Semi-Supervised Learning

基于半监督学习的特定领域术语抽取算法的研究

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Research on Graph-based Semi-Supervised Learning Model and Classifier Design

基于图的半监督学习模型研究与分类器设计

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