Items where Author is "Kinch, Martin W."
Up a level |
artificial intelligence
Kinch, Martin W. ORCID: 0000-0002-4737-7118 , Melis, Wim J.C. ORCID: 0000-0003-3779-8629 and Keates, Simeon ORCID: 0000-0002-2826-672X (2019) The benefits of contextual information for speech recognition systems. In: 2018 10th Computer Science and Electronic Engineering (CEEC). IEEE, pp. 225-230. ISBN 978-1538672761 (doi:https://doi.org/10.1109/CEEC.2018.8674204)
Kinch, Martin W. ORCID: 0000-0002-4737-7118 , Melis, Wim J.C. ORCID: 0000-0003-3779-8629 and Keates, Simeon ORCID: 0000-0002-2826-672X (2017) Reviewing the current state of machine learning for artificial intelligence with regards to the use of contextual information. In: The Second Medway Engineering Conference on Systems: Efficiency, Sustainability and Modelling, Tuesday, 6th June 2017, University of Greenwich, Chatham Maritime ME4 4TB.
context- aware computing
Kinch, Martin W. ORCID: 0000-0002-4737-7118 , Melis, Wim J.C. ORCID: 0000-0003-3779-8629 and Keates, Simeon ORCID: 0000-0002-2826-672X (2019) The benefits of contextual information for speech recognition systems. In: 2018 10th Computer Science and Electronic Engineering (CEEC). IEEE, pp. 225-230. ISBN 978-1538672761 (doi:https://doi.org/10.1109/CEEC.2018.8674204)
contextual information
Kinch, Martin W. ORCID: 0000-0002-4737-7118 , Melis, Wim J.C. ORCID: 0000-0003-3779-8629 and Keates, Simeon ORCID: 0000-0002-2826-672X (2019) The benefits of contextual information for speech recognition systems. In: 2018 10th Computer Science and Electronic Engineering (CEEC). IEEE, pp. 225-230. ISBN 978-1538672761 (doi:https://doi.org/10.1109/CEEC.2018.8674204)
Contextual information processing
Kinch, Martin W. ORCID: 0000-0002-4737-7118 , Melis, Wim J.C. ORCID: 0000-0003-3779-8629 and Keates, Simeon ORCID: 0000-0002-2826-672X (2017) Reviewing the current state of machine learning for artificial intelligence with regards to the use of contextual information. In: The Second Medway Engineering Conference on Systems: Efficiency, Sustainability and Modelling, Tuesday, 6th June 2017, University of Greenwich, Chatham Maritime ME4 4TB.
machine learning
Kinch, Martin W. ORCID: 0000-0002-4737-7118 , Melis, Wim J.C. ORCID: 0000-0003-3779-8629 and Keates, Simeon ORCID: 0000-0002-2826-672X (2019) The benefits of contextual information for speech recognition systems. In: 2018 10th Computer Science and Electronic Engineering (CEEC). IEEE, pp. 225-230. ISBN 978-1538672761 (doi:https://doi.org/10.1109/CEEC.2018.8674204)
Kinch, Martin W. ORCID: 0000-0002-4737-7118 , Melis, Wim J.C. ORCID: 0000-0003-3779-8629 and Keates, Simeon ORCID: 0000-0002-2826-672X (2017) Reviewing the current state of machine learning for artificial intelligence with regards to the use of contextual information. In: The Second Medway Engineering Conference on Systems: Efficiency, Sustainability and Modelling, Tuesday, 6th June 2017, University of Greenwich, Chatham Maritime ME4 4TB.
natural language processing
Kinch, Martin W. ORCID: 0000-0002-4737-7118 , Melis, Wim J.C. ORCID: 0000-0003-3779-8629 and Keates, Simeon ORCID: 0000-0002-2826-672X (2019) The benefits of contextual information for speech recognition systems. In: 2018 10th Computer Science and Electronic Engineering (CEEC). IEEE, pp. 225-230. ISBN 978-1538672761 (doi:https://doi.org/10.1109/CEEC.2018.8674204)
speech recognition
Kinch, Martin W. ORCID: 0000-0002-4737-7118 , Melis, Wim J.C. ORCID: 0000-0003-3779-8629 and Keates, Simeon ORCID: 0000-0002-2826-672X (2019) The benefits of contextual information for speech recognition systems. In: 2018 10th Computer Science and Electronic Engineering (CEEC). IEEE, pp. 225-230. ISBN 978-1538672761 (doi:https://doi.org/10.1109/CEEC.2018.8674204)
Transfer learning
Kinch, Martin W. ORCID: 0000-0002-4737-7118 , Melis, Wim J.C. ORCID: 0000-0003-3779-8629 and Keates, Simeon ORCID: 0000-0002-2826-672X (2017) Reviewing the current state of machine learning for artificial intelligence with regards to the use of contextual information. In: The Second Medway Engineering Conference on Systems: Efficiency, Sustainability and Modelling, Tuesday, 6th June 2017, University of Greenwich, Chatham Maritime ME4 4TB.