搜索结果: 1-12 共查到“数理统计学 functions”相关记录12条 . 查询时间(0.312 秒)
昆明理工大学理学院概率论与数理统计课件Chapter 3 Multionariate Random Variables--Distribution of special functions
昆明理工大学理学院 概率论与数理统计 课件 Chapter 3 Multionariate Random Variables Distribution of special functions
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2017/4/17
昆明理工大学理学院概率论与数理统计课件Chapter 3 Multionariate Random Variables--Distribution of special functions.
昆明理工大学理学院概率论与数理统计课件Chapter 3 Multionariate Random Variables--Probability mass/density functions
昆明理工大学理学院 概率论与数理统计 课件 Chapter 3 Multionariate Random Variables Probability mass/density functions
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2017/4/17
昆明理工大学理学院概率论与数理统计课件Chapter 3 Multionariate Random Variables--Probability mass/density functions.
昆明理工大学理学院概率论与数理统计课件Chapter 2 Random variables and their distributions--Functions of Random Variables
昆明理工大学理学院 概率论与数理统计 课件 Chapter 2 Random variables and their distributions Functions of Random Variables
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2017/4/17
昆明理工大学理学院概率论与数理统计课件Chapter 2 Random variables and their distributions--Functions of Random Variables.
昆明理工大学理学院概率论与数理统计课件Chapter 2 Random variables and their distributions--Cumulative Distribution Functions
昆明理工大学理学院 概率论与数理统计 课件 Chapter 2 Random variables and their distributions Cumulative Distribution Functions
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2017/4/17
昆明理工大学理学院概率论与数理统计课件Chapter 2 Random variables and their distributions--Cumulative Distribution Functions.
Constrained ordination analysis with flexible response functions
Canonical correspondence analysis Density estimation Discriminant analysis Likelihood ratio Multinomial and Poisson likelihood Random weights Vegetation succession study
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2015/8/21
Canonical correspondence analysis (CCA) is perhaps the most popular multivariate technique used by environmental ecologists for constrained ordination; it is an approximation to the maximum likelihood...
Margin Maximizing Loss Functions
Margin Maximizing Loss Functions
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2015/8/21
Margin maximizing properties play an important role in the analysis of classification models, such as boosting and support vector machines. Margin maximization is theoretically interesting because it ...
Solving Support Vector Machines in Reproducing Kernel Banach Spaces with Positive Definite Functions
support vector machine reproducing kernel Banach space reproducing kernel,posi-tive definite function Fourier transform,Sobolev space,Matern function,Sobolev spline
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2012/11/22
In this paper we extend support vector machines from reproducing kernel Hilbert spaces into reproducing kernel Banach spaces whose reproducing kernels can be defined on nonsymmetric domains. Using the...
Spans of Preference Functions for De Bruijn Sequences
De Bruijn Sequence Ford sequence preference function
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2011/1/19
A nonbinary Ford sequence is a de Bruijn sequence generated by sim-ple rules that determine the priorities of what symbols are to be tried first, given an initial word of size n which is the order of ...
Computationally Efficient Modulation Level Classification Based on Probability Distribution Distance Functions
Computationally Efficient Modulation Level Classification Probability Distribution Distance
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2011/1/4
We present a novel modulation level classification (MLC) method based on probability distribution distance functions. The proposed method uses modified Kuiper and Kolmogorov- Smirnov (KS) distances to...
Shaping Level Sets with Submodular Functions
Shaping Level Sets Submodular Functions
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2011/1/4
We consider a class of sparsity-inducing regularization terms based on submodular functions. While earlier work has focused on non-decreasing functions, we explore symmetric submodular functions and t...
Asymptotics of coefficients of multivariate generating functions: improvements for multiple points
analytic combinatorics multivariate higher-order terms singularity analysis
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2010/12/14
Let F(x) = P 2Nd Fx be a multivariate power series with complex coefficients that converges in a neighborhood of the origin. Assume F = G/H for some functions G and H holomorphic in a neighborhood ...
Sampling and Recovery of Multidimensional Bandlimited Functions via Frames
Sampling and Recovery Multidimensional Bandlimited Functions
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2010/12/3
In this paper, we investigate frames for L2[−, ]d consisting of exponential functions in connection to oversampling and nonuniform sampling of bandlimited func-tions.