Git stats 4 commits. Failed to load latest commit information. View code. The code has been authored by: Robert Pinsler and Jonathan Gordon. Usage The experiments provided in this code base include active learning on standard vision based datasets classification and UCI datasets regression.
The following experiments are provided see section 7 of the paper : Active learning for regression: run the following command. For example, to run the proposed method on the year dataset, please run:. Plotting Code to generate active learning curves as exhibited in the paper is also provided.
To generate appropriate learning curves, please run the command python3. About No description, website, or topics provided. Releases No releases published. Packages 0 No packages published. Release notes Latest release date February 9, Release notes Latest release date January 12, Release notes Latest release date September 8, Release notes Latest release date August 11, Release notes Latest release date July 14, Release notes Latest release date June 9, Release notes Latest release date May 19, Release notes Latest release date January 14, These releases are generally not supported for production use.
Release notes Latest release date November 14, Full version 3. Release notes Latest release date November 4, Release notes Latest release date October 15, Follow us. Package manager instructions. Arm32 Arm64 x64 x64 Alpine. Arm32 x64 x The same lack of support applies for the LaTeX files provided along with the PDF files only for instructors' convenience. Slides pdf latex. R functions. Normal models.
Conditional distributions, priors, posteriors, improper priors, conjugate priors, exponential families, tests, Bayes factors, decision theory, importance sampling. Regression and variable selection. G-priors, noninformative priors, Gibbs sampling, variable selection.
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