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

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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Semi-supervised Learning and Its Application to Intrusion Detection System

半监督学习在入侵检测系统中的应用

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Research on Expression Recognition Methods Based on Semi-Supervised Learning and Decision Level Fusion

基于半监督学习和决策融合的人脸表情识别方法研究

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Study of Intrusion Detection Algorithm Based on Semi-supervised Learning

基于半监督学习的入侵检测算法研究

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The goal of semi-supervised learning is to learn from partially labeled data.

半监督学习研究的目的是在整个数据集中只有一部分样本有标记的情况下，如何对数据进行分类。

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Research of protein-protein interaction extraction based on semi-supervised learning

基于半监督学习的蛋白质关系抽取研究

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Semi-supervised learning to data-driven fault diagnosis has been introduced.

尝试研究了半监督学习在基于数据驱动的故障诊断方法中的应用。

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Semi-supervised learning and its applications to fingerprint image segmentation.

半监督学习及其在指纹图像分割上的应用研究。

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Propose a semi-supervised learning algorithm based on ensemble learning.

提出了一种基于分类器集成的半监督学习算法。

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A Semi-Supervised Learning Algorithm Based on Lie Group and Application

一种基于李群的半监督学习算法及应用研究

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