-
1
-
-
21144438166
-
Likelihood of a model and information criteria
-
H. Akaike. Likelihood of a model and information criteria. Journal of Econometrics, 16:3-14, 1981.
-
(1981)
Journal of Econometrics
, vol.16
, pp. 3-14
-
-
Akaike, H.1
-
2
-
-
12244294304
-
Clustering time series from ARMA models with clipped data
-
School of Computing Sciences, University of East Anglia
-
A. J. Bagnall and G. Janacek. Clustering time series from ARMA models with clipped data. Technical Report CMP-C04-01, School of Computing Sciences, University of East Anglia, 2004.
-
(2004)
Technical Report CMP-C04-01
-
-
Bagnall, A.J.1
Janacek, G.2
-
3
-
-
12244270853
-
Clustering time series from mixture polynomial models with discretised data
-
A. J. Bagnall, G. Janacek, B. d. Iglesia, and M. Zhang. Clustering time series from mixture polynomial models with discretised data. In Proceedings of the second Australasian Data Mining Workshop, pages 105-120, 2003.
-
(2003)
Proceedings of the Second Australasian Data Mining Workshop
, pp. 105-120
-
-
Bagnall, A.J.1
Janacek, G.2
Iglesia, B.D.3
Zhang, M.4
-
4
-
-
0036377356
-
A new approach to analyzing gene expression time series data
-
Z. Bar-Joseph, G. Gerber, D. Gifford, T. Jaakkola, and I. Simon. A new approach to analyzing gene expression time series data. In Proceedings of The Sixth Annual International Conference on Research in Computational Molecular Biology (RECOMB), pages 39-48, 2002.
-
(2002)
Proceedings of the Sixth Annual International Conference on Research in Computational Molecular Biology (RECOMB)
, pp. 39-48
-
-
Bar-Joseph, Z.1
Gerber, G.2
Gifford, D.3
Jaakkola, T.4
Simon, I.5
-
5
-
-
0030815057
-
Identification of cyclone-track regimes in the north atlantic
-
R. Blender, K. Fraedrich, and F. Lunkeit. Identification of cyclone-track regimes in the north atlantic. Quart J. Royal Meteor. Soc., (123):727-741, 1997.
-
(1997)
Quart J. Royal Meteor. Soc.
, Issue.123
, pp. 727-741
-
-
Blender, R.1
Fraedrich, K.2
Lunkeit, F.3
-
8
-
-
0034593106
-
Visualization of navigation patterns on a web site using model-based clustering
-
I. V. Cadez, D. Heckerman, C. Meek, P. Smyth, and S. White. Visualization of navigation patterns on a web site using model-based clustering. In Knowledge Discovery and Data Mining, pages 280-284, 2000.
-
(2000)
Knowledge Discovery and Data Mining
, pp. 280-284
-
-
Cadez, I.V.1
Heckerman, D.2
Meek, C.3
Smyth, P.4
White, S.5
-
10
-
-
0030144761
-
Algorithm for clustering continuous density HMM by recognition error
-
E. Dermatas and G. Kokkinakis. Algorithm for clustering continuous density HMM by recognition error. IEEE Tr. On Speech and Audio Processing, 4(3):231-234, 1996.
-
(1996)
IEEE Tr. on Speech and Audio Processing
, vol.4
, Issue.3
, pp. 231-234
-
-
Dermatas, E.1
Kokkinakis, G.2
-
11
-
-
1842733200
-
Odor-driven attractor dynamics in the antennal lobe allow for simple and rapid olfactory pattern classification
-
R. F. Galan, S. Sachse, G.G. Galizia and A. V.M. Herz. Odor-driven attractor dynamics in the antennal lobe allow for simple and rapid olfactory pattern classification. Neural Computation, 16(5):999-1012, 2004.
-
(2004)
Neural Computation
, vol.16
, Issue.5
, pp. 999-1012
-
-
Galan, R.F.1
Sachse, S.2
Galizia, G.G.3
Herz, A.V.M.4
-
13
-
-
0003857441
-
-
chapter 3. Brain state identification and forecasting of acute pathology using unsupervised fuzzy clustering of EEC temporal patterns. CRC Press
-
A. B. Geva and D. H. Kerem. Fuzzy and Neuro-Fuzzy Systems in Medicine, chapter 3. Brain state identification and forecasting of acute pathology using unsupervised fuzzy clustering of EEC temporal patterns. CRC Press, 1998.
-
(1998)
Fuzzy and Neuro-Fuzzy Systems in Medicine
-
-
Geva, A.B.1
Kerem, D.H.2
-
14
-
-
12244302702
-
A direct representation for the large-sample maximum likelihood estimator of a gaussian autoregressive-moving average process
-
E. J. Godolphin. A direct representation for the large-sample maximum likelihood estimator of a gaussian autoregressive-moving average process. Biometrika, 71(2):281-289, 1984.
-
(1984)
Biometrika
, vol.71
, Issue.2
, pp. 281-289
-
-
Godolphin, E.J.1
-
15
-
-
0035676057
-
On clustering validation techniques
-
M. Halkidi, Y. Batistakis, and M. Vazirgiannis. On clustering validation techniques. Journal of Intelligent Information Systems, 17(2-3):107-145, 2001.
-
(2001)
Journal of Intelligent Information Systems
, vol.17
, Issue.2-3
, pp. 107-145
-
-
Halkidi, M.1
Batistakis, Y.2
Vazirgiannis, M.3
-
16
-
-
0003684449
-
-
Springer-Verlag
-
T. Hastie, R. Tibshirani, and J. Friedman. The elements of statistical learning: Data mining, inference, and prediction. Springer-Verlag, 2001.
-
(2001)
The Elements of Statistical Learning: Data Mining, Inference, and Prediction
-
-
Hastie, T.1
Tibshirani, R.2
Friedman, J.3
-
21
-
-
11144262354
-
Estimation of the parameters in stationary autoregressive processes after hard limiting
-
B. Kedem. Estimation of the parameters in stationary autoregressive processes after hard limiting. Journal of the American Statistical Association, 75:146-153, 1980.
-
(1980)
Journal of the American Statistical Association
, vol.75
, pp. 146-153
-
-
Kedem, B.1
-
22
-
-
12244295960
-
On goodness of fit of time series models: An application of higher order crossings
-
B. Kedem and E. Slud. On goodness of fit of time series models: An application of higher order crossings. Biometrika, 68:551-556, 1991.
-
(1991)
Biometrika
, vol.68
, pp. 551-556
-
-
Kedem, B.1
Slud, E.2
-
24
-
-
0042711018
-
On the need for time series data mining benchmarks: A survey and empirical demonstration
-
E. Keogh and S. Kasetty. On the need for time series data mining benchmarks: A survey and empirical demonstration. Data Mining and Knowledge Discovery, 7(4):349-371, 2003.
-
(2003)
Data Mining and Knowledge Discovery
, vol.7
, Issue.4
, pp. 349-371
-
-
Keogh, E.1
Kasetty, S.2
-
25
-
-
0002182408
-
Cross-sectional approach for clustering time varying data
-
K. Kosmelj and V. Batagelj. Cross-sectional approach for clustering time varying data. Journal of Classification, 7:99-109, 1990.
-
(1990)
Journal of Classification
, vol.7
, pp. 99-109
-
-
Kosmelj, K.1
Batagelj, V.2
-
26
-
-
33745781710
-
A symbolic representation of time series, with implications for streaming algorithms
-
ACM Press
-
J. Lin, E. Keogh, S. Lonardi, and B. Chiu. A symbolic representation of time series, with implications for streaming algorithms. In Proceedings of the 8th ACM SIGMOD workshop on Research issues in data mining and knowledge discovery, pages 2-11. ACM Press, 2003.
-
(2003)
Proceedings of the 8th ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery
, pp. 2-11
-
-
Lin, J.1
Keogh, E.2
Lonardi, S.3
Chiu, B.4
-
29
-
-
2642567171
-
Using dynamic time warping to bootstrap HMM-based clustering of time series
-
T. Oates, L. Firoiu, and P. R. Cohen. Using dynamic time warping to bootstrap HMM-based clustering of time series. Lecture Notes in Computer Science, 1828:35-52, 2001.
-
(2001)
Lecture Notes in Computer Science
, vol.1828
, pp. 35-52
-
-
Oates, T.1
Firoiu, L.2
Cohen, P.R.3
-
30
-
-
12244310306
-
Localised structures in the temporal evolution of asset prices
-
Santa Fe Conference
-
P. Ormerod and C. Mounfield. Localised structures in the temporal evolution of asset prices. In New Approaches to Financial Economics. Santa Fe Conference, 2000.
-
(2000)
New Approaches to Financial Economics
-
-
Ormerod, P.1
Mounfield, C.2
-
31
-
-
0002648792
-
The schwarz criterion and related methods for normal linear models
-
D. K. Pauler. The Schwarz criterion and related methods for normal linear models. Biometrika,85(1):13-27, 1998.
-
(1998)
Biometrika
, vol.85
, Issue.1
, pp. 13-27
-
-
Pauler, D.K.1
-
32
-
-
84981470151
-
A distance measure for classifying ARIMA models
-
D. Piccolo. A distance measure for classifying ARIMA models. Journal of Time Series Analysis, 11(2):153-164, 1990.
-
(1990)
Journal of Time Series Analysis
, vol.11
, Issue.2
, pp. 153-164
-
-
Piccolo, D.1
-
33
-
-
0036532775
-
Bayesian clustering by dynamics
-
M. Ramoni, P. Sebastiani, and P. Cohen. Bayesian clustering by dynamics. Machine Learning, 47(1):91-121, 2002.
-
(2002)
Machine Learning
, vol.47
, Issue.1
, pp. 91-121
-
-
Ramoni, M.1
Sebastiani, P.2
Cohen, P.3
-
34
-
-
84898995769
-
Clustering sequences with hidden markov models
-
M. C. Mozer, M. I. Jordan, and T. Petsche, editors, The MIT Press
-
P. Smyth. Clustering sequences with hidden markov models. In M. C. Mozer, M. I. Jordan, and T. Petsche, editors, Advances in Neural Information Processing Systems, volume 9, page 648. The MIT Press, 1997.
-
(1997)
Advances in Neural Information Processing Systems
, vol.9
, pp. 648
-
-
Smyth, P.1
-
35
-
-
0002107373
-
Cluster of time series models: An example
-
P. Tong and H. Dabas. Cluster of time series models: An example. Journal of Applied Statistics, 17:187-198, 1990.
-
(1990)
Journal of Applied Statistics
, vol.17
, pp. 187-198
-
-
Tong, P.1
Dabas, H.2
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