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Description: This book is about the use of artificial neural networks for supervised learning problems. Many such problems occur in practical applications of artificial neural networks. For example, a neural network might be used as a component of a face recognition system for a security appli-
cation. After seeing a number of images of legitimate users' faces, the network needs to determine accurately whether a new image corresponds to the face of a legitimate user or an imposter. In other applications, such as the prediction of future price of shares on the stock exchange, we may require a neural network to model the relationship between a pattern and a real-valued quantity.
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Size: 20091030 |
Author: kj5566 |
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Description: 基于半监督的核主元分析matlab代码，基于半监督核主元分析matlab代码-Based on the semi-supervised KPCA Matlab code, Based on the semi-supervised KPCA Matlab code
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Size: 5120 |
Author: begin |
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Description: semi-supervised MCMC classification
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Size: 20480 |
Author: 刘国亮 |
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Description: LVQ(学习矢量量化)算法：它是Kohonen的有监督学习的扩展形式。融合了自组织和有导师监督的技术，学习方法是竞争的，但产生方式是有教师监督的，也就是说，竞争学习是在由训练输入指定的各类 中局部进行。-LVQ (learning vector quantization) algorithm: it is the Kohonen s supervised the expansion of the form of learning. Blend of self-organization and supervision of technical mentors, learning methods are competitive, but there is a method of supervision of teachers, that is, competitive learning is specified by the training input for various types of local.
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Size: 36864 |
Author: 杨兵 |
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Description: 模式识别相关技术，EM算法简介，EM算法是关于半监督学习的一种技术-Pattern recognition technology, EM algorithm About, EM algorithm is on a semi-supervised learning techniques
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Size: 123904 |
Author: lulu |
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Description: 监督学习是机器学习中很重要的一种技术,该压缩包中是一个快速监督学习MatLab的实现程序-Supervised learning is very important in machine learning a technique, the compressed package is a fast supervised learning procedures realize the MatLab
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Size: 3072 |
Author: syscxl |
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Description: 一种半监督流形学习算法，包括相应的文章和代码。-A semi-supervised manifold learning algorithm, including the corresponding article and code.
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Size: 2422784 |
Author: 罗朝辉 |
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Description: 此算法利用一种有监督的人工免疫系统实现一个图像分类的分类器。-This algorithm used a supervised artificial immune system to achieve the classification of an image classifier.
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Size: 546816 |
Author: 钮 吉 |
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Description: 半监督分类分析。注释有对应的参考文献和使用说明！-Semi-supervised classification analysis. Notes there is the corresponding references and the use of note!
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Size: 2048 |
Author: 小哈 |
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Description: 近三年来半监督学习的国外顶级期刊论文，办监督的最新研究成果-Over the past three years semi-supervised learning of foreign top-level journal articles, to do oversight of the latest research results
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Size: 18293760 |
Author: jz |
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Description: 半监督学习的一个综述机器学习大牛写的作者是XiaojinZhu原来是交大的现在在美国-Semi-Supervised Learning Literature Survey
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Size: 516096 |
Author: 阿朱 |
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Description: 2000 Supervised and Unsupervised Pattern Recognition.rar
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Size: 16327680 |
Author: Syed |
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Description: wekaUT是 university texas austin 开发的基于weka的半指导学习(semi supervised learning)的分类器-university texas austin are wekaUT the development of guidance based on semi-weka study (semi supervised learning) classifier
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Size: 12618752 |
Author: 尹朝明 |
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Description: Semi-Supervised Discriminant Analysis (Graph Embedding Way)
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Size: 15360 |
Author: keyvan |
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Description: Semi-supervised learning
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Size: 14336 |
Author: jed.liu |
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Description: 这系列课件系统地讲述了模式识别的基本理论和基本方法。内容涵盖了贝叶斯决策、概率密度函数的估计、线性判别函数、邻近法则、特征的选择和提取、非监督学习、神经网络、模糊模式识别等。-This series of courseware on a pattern recognition system to the basic theory and basic methods. Covers the Bayesian decision-making, the estimated probability density function, linear discriminant function, the neighboring rules, feature selection and extraction, non-supervised learning, neural networks, fuzzy pattern recognition and so on.
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Size: 13752320 |
Author: yrw |
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Description: 遥感数字图像分析:内容包括图像处理的基本理论及各种分类方法-Remote Sensing Digital Image Analysis：Includes unsupervised classification techniques and supervised classification techniques.
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Size: 8115200 |
Author: 陈财明 |
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Description: .Sparse coding algorithm.We can also apply it onefficient sparse coding algorithm to a new machine learning framework called "self-taught learning", where we are given a small amount of labeled data for a supervised learning task, and lots of additional unlabeled data that does not share the labels of the supervised problem and does not arise from the same distribution.
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Size: 2048 |
Author: huneza |
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Description: 贝叶斯分类和后面的线性、非线性分类器属于有监督学习。
-Bayesian classification and the back of the linear, non-linear classifier belong to supervised learning.
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Size: 485376 |
Author: hkm |
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Description: 2-Supervised Learning
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Size: 3744768 |
Author: hieuhuech1
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