代码搜索：Generalized

找到约 2,645 项符合「Generalized」的源代码

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m demglm1.m

%DEMGLM1 Demonstrate simple classification using a generalized linear model. % % Description % The problem consists of a two dimensional input matrix DATA and a % vector of classifications T. The da
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m demglm1.m

%DEMGLM1 Demonstrate simple classification using a generalized linear model. % % Description % The problem consists of a two dimensional input matrix DATA and a % vector of classifications T. The da
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pdf artificial_bee_colony_algorithm_and_its_application_to_generalized_assignment_problem.pdf

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m ex5_2.m

% Example 5-2: Computation of non-square % time-varying channel transfer matrix Wc clear all K = 4; % Number of time samples (I/O observations) N = 2; % Number of channel inputs M = 3; % Number
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m ex5_1.m

% Example 5-1: Computation of Time-varying Channel % Transfer Matrix Wc clear all K = 4; % Number of time samples (I/O observations) N = 4; % Number of channel inputs M = 4; % Number of channel
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m ex5_2.m

% Example 5-2: Computation of non-square % time-varying channel transfer matrix Wc clear all K = 4; % Number of time samples (I/O observations) N = 2; % Number of channel inputs M = 3; % Number
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m ex5_2.m

% Example 5-2: Computation of non-square % time-varying channel transfer matrix Wc clear all K = 4; % Number of time samples (I/O observations) N = 2; % Number of channel inputs M = 3; % Number
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m ex5_1.m

% Example 5-1: Computation of Time-varying Channel % Transfer Matrix Wc clear all K = 4; % Number of time samples (I/O observations) N = 4; % Number of channel inputs M = 4; % Number of channel
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m ex5_1.m

% Example 5-1: Computation of Time-varying Channel % Transfer Matrix Wc clear all K = 4; % Number of time samples (I/O observations) N = 4; % Number of channel inputs M = 4; % Number of channel
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htm glminit.htm

Netlab Reference Manual glminit glminit Purpose Initialise the weights in a generalized linear model. Synopsis
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