نتایج جستجو برای: lead time risk pooling

تعداد نتایج: 2952085  

2016
S. H. Huang Q. Li Y. Yang C. Y. Yuan K. Ouyang P. You

Eighty-two soil samples were collected, and As, Pb, Cd, Zn, Cu and Ni were analysed for their concentrations, potential ecological risks and human health risks. The average concentrations of As, Pb, Cd and Zn exceeded their corresponding limits prescribed by the Chinese National Soil Environmental Quality Standard III, while Cu and Ni were far less than prescribed. The potential ecological risk...

Journal: :Journal of electrocardiology 1995
R Hoekema G J Huiskamp T F Oostendorp G J Uijen A van Oosterom

In this paper, a method is described to transform Body Surface Map (BSM) data from one lead system to that of another. This enables pooling of BSM data between different centres. The transformation tool is based upon Laplacian interpolation. It is evaluated by inspecting transformations from lead systems having few leads to one having many leads.

2010
Kevin Li John Liu Jia Yan Jie Min

With empirical evidence from marine mutual insurance (MMI), an impulse feedback model is constructed to address how information sharing can help increase both the social welfare and the efficiency of operation of the MMI system. Focusing on information sharing, this paper considers the premium policy optimization of a pure (i.e., non-stock consideration) mutual insurance system with a homogeneo...

Journal: :Neural networks : the official journal of the International Neural Network Society 2015
Haibing Wu Xiaodong Gu

Recently, dropout has seen increasing use in deep learning. For deep convolutional neural networks, dropout is known to work well in fully-connected layers. However, its effect in convolutional and pooling layers is still not clear. This paper demonstrates that max-pooling dropout is equivalent to randomly picking activation based on a multinomial distribution at training time. In light of this...

Journal: :Journal of Statistical Planning and Inference 2023

In practical applications of image classification, methods based on convolutional neural networks are used as standard nowadays. However, the success these is not explained sufficiently from a theoretical point view. For this, statistical model for namely hierarchical max-pooling with additional local pooling, introduced. Here pooling enables to combine parts which have variable relative distan...

Journal: :BCP business & management 2023

In this era of stock speculation, knowledge stocks has become very important. Risk management can help achieve more excellent benefits at the lowest possible cost, while improper use approaches lead to a counterproductive result. pooling and risk sharing are present in many domains, with entirely different definitions. Many people apply purposes these two means from other fields financial area,...

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