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Outputs (1087)

Consultant-2: pre- and post processing of machine learning applications. (1995)
Journal Article
SLEEMAN, D., RISSAKIS, M., CRAW, S., GRANER, N. and SHARMA, S., 1995. Consultant-2: pre- and post processing of machine learning applications. International journal of human computer studies [online], 43(1), pages 43-63. Available from: https://doi.org/10.1006/ijhc.1995.1035

The knowledge acquisition bottleneck in the development of large knowledge-based applications has not yet been resolved. One approach which has been advocated is the systematic use of Machine Learning (ML) techniques. However, ML technology poses dif... Read More about Consultant-2: pre- and post processing of machine learning applications..

Theory and design of a hardware stochastic reliability simulator. (1982)
Thesis
MANN, D.P. 1982. Theory and design of a hardware stochastic reliability simulator. Robert Gordon's Institute of Technology, PhD thesis. Hosted on OpenAIR [online]. Available from: https://doi.org/10.48526/rgu-wt-1993286

The work described in this thesis is concerned with the design of special purpose digital circuitry to achieve high-speed simulation of system reliability. Initially, an investigation into alternative simulation methods is undertaken. Analytical and... Read More about Theory and design of a hardware stochastic reliability simulator..

Theory and application of learning automata. (1980)
Thesis
MACKIE, N.J. 1980. Theory and application of learning automata. Robert Gordon's Institute of Technology, PhD thesis. Hosted on OpenAIR [online]. Available from: https://doi.org/10.48526/rgu-wt-1993304

Although the theoretical performance of many learning automata has been considered, the practical operation of these automata has received far less attention. This work starts with the construction of two action Tsetlin and Krylov automata. The perfo... Read More about Theory and application of learning automata..

SelfBACK: a decision support system to improve self-management of non-specific low back pain [online].
Digital Artefact
SELFBACK. 2016. SelfBACK: a decision support system to improve self-management of non-specific low back pain [online]. Available from: http://www.selfback.eu/

This is the official project website for the SelfBack project. The project will run from Jan 2016 – Dec 2020. The aim of the project is to improve self-management of non-specific low back pain through the development of a decision support system, Sel... Read More about SelfBACK: a decision support system to improve self-management of non-specific low back pain [online]..

SelfBACK: self-management on low back pain [online].
Digital Artefact
SCHOOL OF COMPUTING SCIENCE AND DIGITAL MEDIA. 2016. SelfBACK: self-management on low back pain [online]. Available from: http://www.comp.rgu.ac.uk/selfback/

This is RGU's website for its contribution to the SelfBACK project. SELFBACK is an EU funded Horizon 2020 project to develop a monitoring system to assist patients to self-mange low back pain. The system uses wearable sensors to continuously monitors... Read More about SelfBACK: self-management on low back pain [online]..

A case-based approach to data-to-text generation. [Software]
Digital Artefact
UPADHYAY, A., MASSIE, S., SINGH, R.K., GUPTA, G. and OJHA, M. 2021. A case-based approach to data-to-text generation. [Software]. Hosted on GitHub [online]. Available from: https://github.com/ashishu007/data2text-cbr

Traditional Data-to-Text Generation (D2T) systems utilise carefully crafted domain specific rules and templates to generate high quality accurate texts. More recent approaches use neural systems to learn domain rules from the training data to produce... Read More about A case-based approach to data-to-text generation. [Software].