photo

Gautam Pendse

Last seen: mehr als ein Jahr vor |  Aktiv seit 2014

Followers: 0   Following: 0

Nachricht

Statistik

  • Knowledgeable Level 3
  • Revival Level 2
  • Knowledgeable Level 2
  • First Answer

Abzeichen anzeigen

Feeds

Anzeigen nach

Beantwortet
How can I make my custom convolutional layer (using dlconv) more memory efficient in order to improve the speed of the backward pass?
Hi Julius, One approach that you can try is to rewrite the code like this: ZChannel2 = Z(:, :, :, 2, :); Z2 = dlconv(double(s...

mehr als 3 Jahre vor | 0

Beantwortet
Sampling from Posterior Distribution of GPR Model from fitrgp()
Hi Sterling, Here's an example illustrating how to sample from the posterior distribution of a GPR model. The code uses an un...

fast 4 Jahre vor | 2

| akzeptiert

Beantwortet
What is derivative trace in dlgradient function?
Hi Theron, Re: 1. What is derivative trace in dlgradient function? ** Derivative trace is essentially the history containing a...

fast 5 Jahre vor | 2

| akzeptiert

Beantwortet
How to Manually Change dlnet's Learnable Parameters?
Hi Theron, The first syntax for dlupdate may be what you are looking for: https://www.mathworks.com/help/deeplearning/ref/dlup...

fast 5 Jahre vor | 0

| akzeptiert

Beantwortet
Two Issues about MATLAB's Official Example of GAN
Hi Theron, Re: 2. As I mentioned in another post, the ganLoss(...) function in fact appends a Sigmoid layer at the end of the d...

fast 5 Jahre vor | 2

| akzeptiert

Beantwortet
Gaussian process regression Beta values
Hi Sareena, The initial value for 'Beta' is a vector of all zeros. You can specify an initial value using the 'Beta' name/value...

mehr als 5 Jahre vor | 0

| akzeptiert

Beantwortet
Can I use parallel computing when training a gaussian process with separate length scales for predictors with fitgrp?
Hi Lauri, Even when there are separate length scales for predictors, these are jointly optimized during training. This optimi...

etwa 6 Jahre vor | 0

| akzeptiert

Beantwortet
Gaussian Process Regression with input-dependent noise (Sigma)
Hi Rick, Incorporating input-dependent noise in a custom covariance kernel is a sensible approach. For a custom kernel, gradi...

mehr als 6 Jahre vor | 0

| akzeptiert

Beantwortet
How to model noise-free case and to obtain Covarince matrix after performing Gaussian process regression using fitrgp
You can set 'Sigma' to a small value and set a name value pair called <https://www.mathworks.com/help/stats/fitrgp.html#input_ar...

fast 7 Jahre vor | 0

Beantwortet
LogLikelihood for Gaussian Process regression (function: `fitgpr`) for given set of hyperparameter
Hi Pankaj, Loglikelihood is not calculated for 'FitMethod','none'. As a temporary workaround, there is an undocumented intern...

fast 7 Jahre vor | 0

| akzeptiert

Beantwortet
How to specify this mixed effects model?
I am guessing the data looks something like this: >> tbl = table(); tbl.Time = repmat(repmat((1:5)',2,1),2,1); tbl.Su...

fast 7 Jahre vor | 0

| akzeptiert

Beantwortet
How to do stepwise knots selection based on AIC/BIC criteria in Linear mixed effect model?
Hi Mithun, You can access model criteria for a LME model via the <https://www.mathworks.com/help/stats/linearmixedmodel-class...

fast 7 Jahre vor | 0

Beantwortet
How can I incorporate spatially correlated data into linear mixed effect model which is fitlmematrix method I am trying to use?
Hi Mithun, One way to approach this problem would be to use fitrgp but with a kernel function that combines Z and R. So if yo...

fast 7 Jahre vor | 1

| akzeptiert

Beantwortet
NaN confidence intervals from fitlme()
Hi KJ, Have a look at the 'StartMethod' name/value pair: https://www.mathworks.com/help/stats/fitlme.html#namevaluepairarg...

mehr als 7 Jahre vor | 0

Beantwortet
Use of fitrgp to solve simple example (Rasmussen book)
Hi Jose, Function fitrgp fits the model by maximizing the marginal log likelihood. In some cases, there could be multiple loc...

mehr als 7 Jahre vor | 2

| akzeptiert

Beantwortet
Estimates from Gaussian Process regression (function: `fitgpr`) for given set of hyperparameter
Hi Pankaj, You probably want to use 'FitMethod','none' in the call to fitrgp. For more info, have a look at the doc for 'FitM...

mehr als 7 Jahre vor | 0

| akzeptiert

Beantwortet
how does one specify a nested covariance pattern in fitlme?
Hi Ben, The specification "(Pitx*DV|animal:APxML)" above has only 1 grouping variable - namely "animal:APxML". So 'Covariance...

etwa 9 Jahre vor | 0

Beantwortet
fitlme "Index exceeds matrix dimensions."
Hi Bruno, This doesn't look like the intended behavior but it is difficult to say why you are getting that error. Could you p...

etwa 9 Jahre vor | 0

| akzeptiert

Beantwortet
How to use the gaussian process regression function in matlab 2015b ?
Replace xd and yd by something like this: xd = linspace(0,10,20)'; yd = fun(xd) + 1*randn(20,1); Rest of the code rem...

etwa 9 Jahre vor | 0

Beantwortet
How can put random effects in the formula of Fit linear mixed model?
Have a look at the examples here: <http://www.mathworks.com/help/stats/fitlme.html> You can use "categorical" to work with...

etwa 9 Jahre vor | 0

Beantwortet
how does one specify a nested covariance pattern in fitlme?
Hi Ben, Look at the example titled "Split-Plot Experiment" at: <http://www.mathworks.com/help/stats/fitlme.html> Does t...

etwa 9 Jahre vor | 0

Beantwortet
How to use the gaussian process regression function in matlab 2015b ?
Hi Regis, Here's how you can reproduce the doc example: % True curve. fun = @(x) x.*sin(x); xx = lins...

etwa 9 Jahre vor | 0

| akzeptiert

Beantwortet
Kernel custom problem firgp
Hi Miguel, The error that you saw is reported when the gram matrix is close to singular and the noise variance converges to 0...

etwa 9 Jahre vor | 1

Beantwortet
Calculating the matrix K at test inputs after training a Gaussian Process with fitrgp
Hi Umberto, There is an undocumented way of calculating what you want. Here is an example: rng(0,'twister'); N = 100;...

etwa 9 Jahre vor | 3

| akzeptiert

Beantwortet
Discrepancy between ANOVA and fitlme
Hi snj, I noticed the following three differences in the call to anovan and fitlme: 1. The call to fitlme should use restr...

etwa 9 Jahre vor | 3

Beantwortet
How do I use the fitlme to fit a a linear mixed-effects model to my data?
Hi Jenny, Your formula 'Rate - Animal * CNO * Condition + (1|MUID)' appears to contain a minus sign after Rate. The syntax re...

fast 10 Jahre vor | 0

Beantwortet
reference dummy coding with Matlab fitlme
Hi Ryan, You can use categorical or nominal to specify the first category. Here's an example: % 0. Dummy data. rn...

mehr als 10 Jahre vor | 0

| akzeptiert