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SupportVectorMachineasanEfficientFrameworkforStock
... Advantages and limitations of the existing models for practical forecasting of
stock market volatility have been identified. Support vector machine (SVM) have been proposed
as a complimentary volatility model that is capable to extract information from ...
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Supportvectormachinebasedbatterymodelforelectricve
The support vector machine (SVM) is a novel type of learning machine based on statistical learning theory
that can map a nonlinear function successfully. As a battery is a nonlinear system, it is difficult to establish
the relationship between the load ...
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slice.rar
... the slice, and (2)extracting the instructions for storage in the slice cache.Detection is done by propagating a dependance vector or DV as follows:Starting from the candidate load send its DV to the immediate preceding slicer entry.Entry checks the bit ...
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STL_standardlibrary.rar
C++标准库简介,包括以下内容：
1.C++标准库——函数对象
2.pair-min-max-swap
3.std_deque双端队列容器
4.std_map作为一个关联数组
5.std_set作为一个有序集合
6.容器中的型别
7.使用std_list作为链表
8.使用以vector简化对象管理
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decomp_reconst_W.rar
... image
Nsc: number of scales
filter: type of filter used (see namedFilters)
block: 2x1 vector indicating the dimensions (rows and columns) of the spatial neighborhood
noise: signal with the ...
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kalmanf.zip
卡尔曼算法 updates a system state vector estimate based upon an observation, using a discrete Kalman filter.
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