Collective Intelligence has received much attention in recent years, as organizations and businesses discover the power of crowds. With new technologies, such as blogs, twitter, wikis, photo sharing, collaborative tag...
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Purpose: A preliminary study on the magnetic resonance (MRI) characteristics of (vegetable) tissue NTIRE is an emerging minimally invasive surgery technique for tissue ablation in which, microsecond, high electrical f...
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Applications using P2P as an Overlay network in MANet (P2M) are very unstable in terms of MANet interconnections and P2P churn. MANet-based P2P applications usually create a considerable overhead on the P2P consumer d...
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Aiming to answer the growing demand for professionals with knowledge about software processes, this article presents ideas for using educational tools that supports its teaching, through realistic experiences away fro...
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In this paper, we introduce an information maximization method to describe variable selection in competitive learning, in particular, SOM(self-organizing maps) by introducing information-theoretic importance of input ...
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ISBN:
(纸本)9780889868182
In this paper, we introduce an information maximization method to describe variable selection in competitive learning, in particular, SOM(self-organizing maps) by introducing information-theoretic importance of input variables. In this method, information content concerning the importance of input variables is supposed to be maximized so as to condense information on input variables as much as possible. The importance of input variables is determined by enhanced information. The enhanced information is mutual information between input patterns and competitive units with enhanced attention to given input variables. Then, connection weights are determined so as to maximize information based upon this enhanced information about input variables. We applied the method to two well-known data from machine-learning database, namely, the wine and the voting attitude data. Experimental results confirmed that by applying the method to two problems, the performance of the conventional SOM can be improved in terms of quantization and topographic errors.
In this research will show a method for sound-recognition with artificial neural network backpropagation concept. The artificial neural network use sigmoid activation function to all layer. Steps to the extraction, fi...
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The clinical data stored in the health information system can be categorized as two types including structuralized data and non-structuralized ones. In the paper, a data extraction system is developed to assist data r...
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In this paper,an equivalency condition of nonsingularity in nonlinear semidefinite programming,which can be viewed as a generalization of the equivalency condition of nonsingularity for linearsemidefinite programming,...
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In this paper,an equivalency condition of nonsingularity in nonlinear semidefinite programming,which can be viewed as a generalization of the equivalency condition of nonsingularity for linearsemidefinite programming,is established under certain conditions of convexity.
Both Data hiding and data compression are very important technologies in the field of image processing. It seems that there is no relationship between data hiding and data compression because most of the data hiding m...
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Applications using P2P as an Overlay network in MANet (P2M) are very unstable in terms of MANet interconnections and P2P churn. MANet-based P2P applications usually create a considerable overhead on the P2P consumer d...
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Applications using P2P as an Overlay network in MANet (P2M) are very unstable in terms of MANet interconnections and P2P churn. MANet-based P2P applications usually create a considerable overhead on the P2P consumer due to the control of the end-to-end communication with the peer that provides the shared content. Moreover, traditional P2P networks offer polluted contents wasting the device's scarce resources. This paper proposes a service that minimizes the P2M environment instabilities for mobile devices and reduces the probability of downloading corrupt contents. A prototype was developed to show that SP2MS can be easily integrated into the traditional P2P infrastructure.
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