-
1
-
-
33846949606
-
The engine data store for DAME
-
Bailey, V., Utete, S., Bannister, P., Tarassenko, L., Honoré, G., Ong, M. & Nadeem, S. 2004 The engine data store for DAME. In Proc. of the All-Hands UK e-science Meeting, Nottingham, September 2004.
-
(2004)
Proc. of the All-Hands UK e-science Meeting, Nottingham, September 2004
-
-
Bailey, V.1
Utete, S.2
Bannister, P.3
Tarassenko, L.4
Honoré, G.5
Ong, M.6
Nadeem, S.7
-
3
-
-
0026966646
-
A training algorithm for optimal margin classifiers
-
Boser, B. E., Guyon, I. M. & Vapnik, V. N. 1992 A training algorithm for optimal margin classifiers. In Proc. of the 5th Annual ACM Workshop on Computational Learning Theory, Pittsburgh, PA, pp. 144-152.
-
(1992)
Proc. of the 5th Annual ACM Workshop on Computational Learning Theory, Pittsburgh, PA
, pp. 144-152
-
-
Boser, B.E.1
Guyon, I.M.2
Vapnik, V.N.3
-
5
-
-
0003502435
-
-
Gelb, A, ed, Cambridge, MA: MIT Press
-
Gelb, A. (ed.) 1974 Applied optimal estimation. Cambridge, MA: MIT Press.
-
(1974)
Applied optimal estimation
-
-
-
6
-
-
0003423085
-
Parameter estimation for linear dynamical systems
-
Report no. CRG-TR-96-2, University of Toronto, Canada
-
Ghahramani, Z. & Hinton G. E. 1996 Parameter estimation for linear dynamical systems. Report no. CRG-TR-96-2, University of Toronto, Canada.
-
(1996)
-
-
Ghahramani, Z.1
Hinton, G.E.2
-
7
-
-
84899013252
-
Support vector novelty detection applied to jet engine vibration spectra
-
ed. T. K. Leen, T. G. Dietterich & V. Tresp, pp, Cambridge, MA: MIT Press
-
Hayton, P., Schölkopf, B., Tarassenko, L. & Anuzis, P. 2001 Support vector novelty detection applied to jet engine vibration spectra. In Advances in neural information processing systems 13 (ed. T. K. Leen, T. G. Dietterich & V. Tresp), pp. 946-952, Cambridge, MA: MIT Press.
-
(2001)
Advances in neural information processing systems 13
, pp. 946-952
-
-
Hayton, P.1
Schölkopf, B.2
Tarassenko, L.3
Anuzis, P.4
-
8
-
-
0037088407
-
Particle filtering-based fault detection in non-linear stochastic systems
-
doi:10.1080/00207720110102566
-
Kadirkamanathan, V., Li, P., Jaward, M. H. & Fabri, S. G. 2002 Particle filtering-based fault detection in non-linear stochastic systems. Int. J. Syst. Sci. 33, 259-265. (doi:10.1080/00207720110102566)
-
(2002)
Int. J. Syst. Sci
, vol.33
, pp. 259-265
-
-
Kadirkamanathan, V.1
Li, P.2
Jaward, M.H.3
Fabri, S.G.4
-
9
-
-
0036033197
-
The use of novelty detection techniques for monitoring high-integrity plant
-
King, S. P., King, D. M., Anuzis, K., Astley, K., Tarassenko, L., Hayton, P. & Utete. S. 2002 The use of novelty detection techniques for monitoring high-integrity plant. In Proc. of IEEE Int. Conf. on Control Appl. 1. Glasgow. September 2002, pp. 221-226.
-
(2002)
Proc. of IEEE Int. Conf. on Control Appl. 1. Glasgow. September 2002
, pp. 221-226
-
-
King, S.P.1
King, D.M.2
Anuzis, K.3
Astley, K.4
Tarassenko, L.5
Hayton, P.6
Utete, S.7
-
10
-
-
0036239796
-
Artificial neural network models for fault detection and isolation of industrial processes
-
Korbicz, J. & Janczak, A. 2002 Artificial neural network models for fault detection and isolation of industrial processes. Comput. Assist. Mach. Eng. Sci. 9, 55-69.
-
(2002)
Comput. Assist. Mach. Eng. Sci
, vol.9
, pp. 55-69
-
-
Korbicz, J.1
Janczak, A.2
-
11
-
-
85020775659
-
-
Murphy, K. 1998-2002 Bayes network Kalman filtering toolbox. http://www.ai.mit.edu/~murphyk, now at http://www.cs.ubc.ca/~murphyk.
-
Murphy, K. 1998-2002 Bayes network Kalman filtering toolbox. http://www.ai.mit.edu/~murphyk, now at http://www.cs.ubc.ca/~murphyk.
-
-
-
-
12
-
-
0142063407
-
Novelty detection: A review - part 1: statistical approaches
-
doi:10.1016/j.sigpro.2003.07.018
-
Markou, M. & Singh, S. 2003 Novelty detection: a review - part 1: statistical approaches. Signal Process. 83, 2481-2497. (doi:10.1016/j.sigpro.2003.07.018)
-
(2003)
Signal Process
, vol.83
, pp. 2481-2497
-
-
Markou, M.1
Singh, S.2
-
13
-
-
0032734299
-
A system for the analysis of jet engine vibration data
-
Nairac, A., Townsend, N., Carr, R., King, S., Cowley, P. & Tarassenko, L. 1999 A system for the analysis of jet engine vibration data. Integr. Comput. Aided Eng. 24, 53-65.
-
(1999)
Integr. Comput. Aided Eng
, vol.24
, pp. 53-65
-
-
Nairac, A.1
Townsend, N.2
Carr, R.3
King, S.4
Cowley, P.5
Tarassenko, L.6
-
14
-
-
0036709275
-
Constructing boosting algorithms from SVMs: An application to one-class classification
-
doi:10.1109/TPAMI.2002.1033211
-
Rätsch, G., Mika, S., Schölkopf, B. & Müller, K. R. 2002 Constructing boosting algorithms from SVMs: an application to one-class classification. IEEE Tran. Pattern Anal. Mach. Intell. 24, 1184-1199. (doi:10.1109/TPAMI.2002.1033211)
-
(2002)
IEEE Tran. Pattern Anal. Mach. Intell
, vol.24
, pp. 1184-1199
-
-
Rätsch, G.1
Mika, S.2
Schölkopf, B.3
Müller, K.R.4
-
15
-
-
85020775973
-
-
Rolls-Royce plc 1986 The jet engine. 4th edn. Derby, UK: Rolls-Royce plc.
-
Rolls-Royce plc 1986 The jet engine. 4th edn. Derby, UK: Rolls-Royce plc.
-
-
-
-
16
-
-
0033556862
-
A unifying review of linear Gaussian models
-
doi:10.1162/ 089976699300016674
-
Roweis, S. & Ghahramani, Z. 1999 A unifying review of linear Gaussian models. Neural Comput. 11, 305-345. (doi:10.1162/ 089976699300016674)
-
(1999)
Neural Comput
, vol.11
, pp. 305-345
-
-
Roweis, S.1
Ghahramani, Z.2
-
17
-
-
84887006810
-
A nonlinear mapping for data structure analysis
-
Sammon, J. W. 1969 A nonlinear mapping for data structure analysis. IEEE Trans. Comput. 18, 401-409.
-
(1969)
IEEE Trans. Comput
, vol.18
, pp. 401-409
-
-
Sammon, J.W.1
-
18
-
-
0038091288
-
Estimating the support of a high-dimensional distribution
-
Report no. TR MSR 99-87, Microsoft Research. Redmond, WA
-
Schölkopf, B., Platt, J., Shawe-Taylor, J., Smola, A. J. & Williamson, R. C. 1999 Estimating the support of a high-dimensional distribution. Report no. TR MSR 99-87, Microsoft Research. Redmond, WA.
-
(1999)
-
-
Schölkopf, B.1
Platt, J.2
Shawe-Taylor, J.3
Smola, A.J.4
Williamson, R.C.5
-
19
-
-
4243890535
-
Kernel method for percentile feature extraction
-
Report no. TR MSR, 2000-22, Microsoft Research, Redmond, WA
-
Schölkopf, B., Platt J. & Smola, A. J. 2000a Kernel method for percentile feature extraction. Report no. TR MSR, 2000-22, Microsoft Research, Redmond, WA.
-
(2000)
-
-
Schölkopf, B.1
Platt, J.2
Smola, A.J.3
-
20
-
-
84898941932
-
Support vector method for novelty detection
-
ed. S. A. Solla, T. K. Leen & K.-R. Müller, pp, Cambridge, MA: MIT Press
-
Schölkopf, B., Williamson, R. C., Smola, A. J., Shawe-Taylor, J. & Platt, J. C. 2000b Support vector method for novelty detection. In Advances in neural information processing systems 12 (ed. S. A. Solla, T. K. Leen & K.-R. Müller), pp. 582-588. Cambridge, MA: MIT Press.
-
(2000)
Advances in neural information processing systems 12
, pp. 582-588
-
-
Schölkopf, B.1
Williamson, R.C.2
Smola, A.J.3
Shawe-Taylor, J.4
Platt, J.C.5
-
21
-
-
0345267230
-
Shadow targets: A novel algorithm for topographic projections by radial basis functions
-
doi:10.1016/S0925-2312(97)00066-0
-
Tipping, M. E. & Lowe, D. 1998 Shadow targets: a novel algorithm for topographic projections by radial basis functions. Neurocomputing 19, 211-222. (doi:10.1016/S0925-2312(97)00066-0)
-
(1998)
Neurocomputing
, vol.19
, pp. 211-222
-
-
Tipping, M.E.1
Lowe, D.2
-
23
-
-
0037443770
-
A review of process fault detection and diagnosis - part I: Quantitative model-based methods
-
doi:10.1016/S0098-1354(02)00160-6
-
Venkatasubramanian, V., Rengaswamy, R., Yin, K. & Kawuri, S. N. 2003 A review of process fault detection and diagnosis - part I: quantitative model-based methods. Comput. Chem. Eng. 27, 293-311. (doi:10.1016/S0098-1354(02)00160-6)
-
(2003)
Comput. Chem. Eng
, vol.27
, pp. 293-311
-
-
Venkatasubramanian, V.1
Rengaswamy, R.2
Yin, K.3
Kawuri, S.N.4
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