Zobrazeno 1 - 10
of 99
pro vyhledávání: '"Bailey, T C"'
Autor:
Schetinin, V., Partridge, D., Krzanowski, W. J., Everson, R. M., Fieldsend, J. E., Bailey, T. C., Hernandez, A.
In this paper we experimentally compare the classification uncertainty of the randomised Decision Tree (DT) ensemble technique and the Bayesian DT technique with a restarting strategy on a synthetic dataset as well as on some datasets commonly used i
Externí odkaz:
http://arxiv.org/abs/cs/0504043
Autor:
Schetinin, V., Fieldsend, J. E., Partridge, D., Krzanowski, W. J., Everson, R. M., Bailey, T. C., Hernandez, A.
The uncertainty of classification outcomes is of crucial importance for many safety critical applications including, for example, medical diagnostics. In such applications the uncertainty of classification can be reliably estimated within a Bayesian
Externí odkaz:
http://arxiv.org/abs/cs/0504042
Autor:
Bailey, T. C., Ashford, J. R.
Publikováno v:
The Journal of the Operational Research Society, 1984 Mar 01. 35(3), 247-256.
Externí odkaz:
https://www.jstor.org/stable/2581752
Publikováno v:
The Journal of the Operational Research Society, 1981 Oct 01. 32(10), 851-864.
Externí odkaz:
https://www.jstor.org/stable/2581228
Autor:
Rosenhead, Jonathan, Thunhurst, Colin, Houlden, B. T., Sussams, J. E., Rees, R. A., Ashford, J. R., Butts, M. S., Bailey, T. C., Kolesar, Peter, Proll, L. G., Ray, W. D.
Publikováno v:
The Journal of the Operational Research Society, 1982 Aug 01. 33(8), 757-768.
Externí odkaz:
https://www.jstor.org/stable/2634324
Autor:
Ashford, J. R., Bailey, T. C.
Publikováno v:
Journal of the Royal Statistical Society. Series D (The Statistician), 1985 Jan 01. 34(1), 107-116.
Externí odkaz:
https://www.jstor.org/stable/2987508
Autor:
Bailey, T. C.
Publikováno v:
Journal of the Royal Statistical Society. Series D (The Statistician), 1985 Jan 01. 34(1), 117-124.
Externí odkaz:
https://www.jstor.org/stable/2987509
Publikováno v:
Statistics and Computing
Stat Comput
Stat Comput
In this paper we consider data on underwater sounds of differing types. Our objective is to filter background noise and achieve an acceptable level of reduction in the raw data, whilst at the same time maintaining the main features of the original si
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2482318683053da453f0eae824c6b7e5
https://doi.org/10.1007/bf00162499
https://doi.org/10.1007/bf00162499
Publikováno v:
Journal of the American Statistical Association
J.Am.Stat.Assoc.
J.Am.Stat.Assoc.
This article considers the use of wavelet methods in relation to a common signal processing problem, that of detecting transient features in sound recordings that contain interference or distortion. In this particular case, the data are various types
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7fcb69284f66ebc3029d3735aa364e10
http://gnosis.library.ucy.ac.cy/handle/7/56441
http://gnosis.library.ucy.ac.cy/handle/7/56441
Autor:
Bailey, T. C.
Publikováno v:
Biometrics, 2007 Sep 01. 63(3), 968-969.
Externí odkaz:
https://www.jstor.org/stable/4541434