# Tagged Questions

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### GPML gives too large length scale when optimising hyperparameters

I recently started trying to apply Gaussian process regression to a problem, using the MATLAB GPML toolbox. The problem has five (or more) input variables, but for now I'm just looking at one of them. ...
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### Gaussian Processes: How to use GPML for multi-dimensional output

Is there a way to perform Gaussian Process Regression on multidimensional output (possibly correlated) using GPML? In the demo script I could only find a 1D example. A similar question on CV that ...
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### In GPML, why does scaler in Squared Exponent covariance function gets very small?

I'm running regression using GPML with a covariance function being a sum of a Gaussian noise and a Squared Exponent (SE). Input is in R4 and both the input and the output are normalized. I run ...
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### How to specify parameter bounds in GPML minimization?

I'm using GPML for regression using different covariance functions and sums thereof (covSEiso, covSEard, covRQard, covNoise, etc). Negative maximum likelihood minimization (minimize()) results in ...
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### GPML returns a negative predictive probability. Why? [duplicate]

I'm using GPML (Gaussian Processes for Machine Learning) v3.2 in Matlab. ...
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### How to increase variance in Gaussian Process regression?

I'm currently experimenting with Gaussian processes. I decided to use matlab + gpml (http://www.gaussianprocess.org/gpml/code/) for playing around with Gaussian processes a bit. I'd like to do ...
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### Computing time issues when using ordinary kriging

I am having time issues when using ordinary kriging. I have a spatial grid of 200x300 where I want to calculate the interpolated values. For that I am using ordinary kriging. Now for each point in the ...
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### How to incorporate prior knowledge in GPML?

I am using the MATLAB code for Rasmussen & Williams' book Gaussian Processes for Machine Learning. How can one incorporate prior knowledge in Gaussian process regression? Say, that the variance ...
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### Using GPML in Matlab for MultiClass Classification

I am using Rasmussen's GPML code in Matlab R2011a_student. I have training data (2560x29707) w/ labels (6 classes), and test data (640x29707). To prep the data I have 1. converted from sparse to full, ...