Linking the Value Assessment of Oil and Gas Firms to Ambidexterity Theory Using a Mixture of Normal Distributions

Autor: Casault, S., Groen, A.J., Linton, J.D.

Oil and gas exploration and production firms have return profiles that are not easily explained by current financial theory – the variation in their market returns is non-Gaussian. In this paper, the nature and underlying reason for these significa

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=core_ac_uk__::9301ad4260f7ce01f8f7c3917c7b07a6
https://eprints.whiterose.ac.uk/118031/1/ogst140155.pdf

Using the technology readiness level (TRL) technique to choose a geographic nanotechnology content partner

Autor: Chavez, V., Gouvea, R., Linton, J.D., Montoya, M., Tierney, R., Walsh, S.T., Giasolli, R., Tolfree, D.

Publikováno v: The pharmaceutical landscape: A new form of roadmapping for the health industry inclusive of therapeutic-diagnostics-instrumentation and drug delivery, 130-142
STARTPAGE=130;ENDPAGE=142;TITLE=The pharmaceutical landscape

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=narcis______::c1253dc2f16594f421a0c57f4fd0106f
https://research.utwente.nl/en/publications/using-the-technology-readiness-level-trl-technique-to-choose-a-geographic-nanotechnology-content-partner(49462403-4e77-4cce-8c89-5904ce83cea9).html

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Reinforcement learning and the effects of parameter settings in the game of Chung Toi.

Autor: Gatti, C.J., Embrechts, M.J., Linton, J.D.

Publikováno v: 2011 IEEE International Conference on Systems, Man & Cybernetics (SMC); 2011, p3530-3535, 6p

Augmented Efficient BackProp for backpropagation learning in deep autoassociative neural networks.

Autor: Embrechts, M.J., Hargis, B.J., Linton, J.D.

Publikováno v: 2010 International Joint Conference on Neural Networks (IJCNN); 2010, p1-6, 6p