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質問
how to construct a gaussian process kernel in 2D
Say a gaussian process regression take with predictor X in 2D, i.e. X = [x1, x2] I am wondering how to construct a kernel fun...
約1年 前 | 1 件の回答 | 0
1
回答質問
real or categorical predictors, which one is faster?
In regressions, is there a guidline to treat predictors as real values or categorical? In a fitting problem with input as X, y ...
1年以上 前 | 1 件の回答 | 0
1
回答質問
How does parallel computing toolbox works in nested loop?
Say pseudo code as following: parfor ii = 1:2 firtgp(X_, y, 'UseParallel', true); end Now assume 8 workers available, ho...
2年弱 前 | 1 件の回答 | 0
1
回答質問
is Exponential Sine Squared kernel available in MATLAB
Exponential Sine Squared kernel is one of the most common used kernel in Gaussian processes. I am aware of MATLAB provides Squre...
2年弱 前 | 1 件の回答 | 0
1
回答質問
Is it possible to self define training and validation sets in fitrgp?
fitrgp supports cross validation during hyper-parameters optimizations. Is it possible to self define the training sets as well ...
2年弱 前 | 1 件の回答 | 0
1
回答質問
Is it possible to construct gaussian processes custom kernels with built in functions?
I understand the way to construct custom kernels for gaussian processes, e.g. kfcn = @(XN,XM,theta) exp(theta(1))^2*exp(-pdist...
2年弱 前 | 1 件の回答 | 0
1
回答質問
time series cross validation in svm
HI, I am trying to write a kernel based regression model (svm or gaussian process) to predict time series data. I note that fi...
5年以上 前 | 1 件の回答 | 0
1
回答質問
Slow bayesopt initialization in parallel computing
Hi, I am using a gaussian process regression model to fit my data through fitrgp function. I self defined a sort of complex ker...
約6年 前 | 2 件の回答 | 0
2
回答質問
setup fmincon with nonlinear constraint condition
I am doing an optimisation job using fmincon with nonlinear constraint condition. I have tried several different input dataset, ...
約10年 前 | 1 件の回答 | 0