You are in : Home » Results & submissions » Select UOA » 15 - General Engineering » View submission: University of Cambridge » Outputs » Detail

Output details

15 - General Engineering

University of Cambridge

Return to search Previous output Next output

Output 0 of 0 in the submission

Article title

Gaussian processes for machine learning (GPML) toolbox

Type

D - Journal article

DOI

Title of journal

Journal of Machine Learning Research

Article number

Volume number

Issue number

First page of article

3011

ISSN of journal

1533-7928

Year of publication

2010

URL

http://jmlr.csail.mit.edu/papers/volume11/rasmussen10a/rasmussen10a.pdf

Number of additional authors

Additional information

The Gaussian Processes for Machine Learning (GPML) toolbox is a freely available octave and MATLAB toolbox. It is actively maintained (latest release 3.2 from Jan 15th 2013). It is top ranked (5 star) at the machine learning open source software repository http://mloss.org/software/ with over 2700 downloads from this site alone. It is also available directly at http://www.gaussianprocess.org/gpml/code - the book and code page http://www.gaussianprocess.org/gpml has had more than 119000 visits. The code was used by the winning team of the Merck Molecular Activity Challenge http://blog.kaggle.com/2012/11/01/deep-learning-how-i-did-it-merck-1st-place-interview.

Interdisciplinary

Cross-referral requested

Research group

None

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract