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. Platform: |
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Author:kj5566 |
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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. Platform: |
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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 Platform: |
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 Platform: |
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Author:syscxl |
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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 Platform: |
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Author:jz |
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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 Platform: |
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Author:尹朝明 |
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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. Platform: |
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Author:yrw |
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Description: 综合了主动学习和半监督学习的多项算法,很有价值的学习资料-Combination of active learning and a number of semi-supervised learning algorithm, learning valuable information Platform: |
Size: 2048 |
Author:苏航 |
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Description: 半监督学习非常好的一篇文章,机器学习重镇,南京大学写的,希望对大家有所帮助!-Semi-supervised learning is very good article, machine learning center, Nanjing University, write, we want to help! Platform: |
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Author:zhuwentao |
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Description: This book describes the important ideas in these areas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of color graphics. It is a valuable resource for statisticians and anyone interested in data mining in science or industry. The book's coverage is broad, from supervised learning (prediction) to unsupervised learning.(During the past decade there has been an explosion in computation and information technology. With it have come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics. Many of these tools have common underpinnings but are often expressed with different terminology. This book describes the important ideas in these areas in a common conceptual framework.) Platform: |
Size: 29292544 |
Author:泼墨丹青
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