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陀螺漂移模型变量的选择在建模中具有重要作用。本文讨论了变量选择的多种方法,提出一种改进的子集比较法,并结合陀螺测漂实例对实现模型变量的最优选择进行了研究
-Gyro drift model for the choice of variables in the modeling plays an important role. This article discusses a variety of variable selection method, a modified subset of
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三菱功率模块设计分析软件，可预先模拟选型及参数验证。加快设计速度，轻松计算各参数变量。尤其是其可估算损耗功率，为散热器设计提供便利，极大提高设计速度和设计效率。-Mitsubishi power module design and analysis software, and parameter selection of pre-simulation validation. Speed up the design speed, easy to calculate the parameters o
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In wireless sensor networks, the power resource of
each sensor node is limited. Minimizing energy dissipation and
maximizing network lifetime are important issues in the design
of routing protocols for sensor networks. In this paper, Cluster
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Sparse Partial Least Squares Regression for On-Line Variable Selection
with Multivariate Data Streams
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Abstract There a number of interesting variable selection methods available beside the regular forward selection and stepwise selection methods. Such approaches include LASSO (Least Absolute Shrinkage and Selection Operator), least angle regression (
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针对传统小波变换过程复杂的缺点和SPIHT 算法编码过程重复运算、存储量大的问题。首先分析了小波基
和小波分解层数的选取, 然后提出了一种改进的SPIH T 算法, 该算法利用可变阈值对SPIH T 算法中初始子带进行分类得
到一种更有效的编码算法。-Against disadvantages of traditional process of complex wavelet transform and SPIHT algorithm coding process repeated op
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多变量评估系统的变量选择问题-变量选择介绍-An Introduction to Variable and Feature Selection
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变量选择是图像处理以及红外处理的一种重要的信息提取方法，本文针对变异系数来选择波长来达到信息提取的目的-Variable selection is an important image processing and infrared treatment method of information extraction based on coefficient of variation to choose wavelength to achieve the goal of information
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基于联合熵的多变量混沌时间序列相空间重构，按照最大熵选择分量-Phase space reconstruction of multi variable chaotic time series based on combined entropy, in accordance with the maximum entropy selection
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