-
1
-
-
84976855597
-
Solution of the matrix equation AX + XB = C
-
Richard H. Bartels and GW Stewart. Solution of the matrix equation AX + XB = C. Communications of the ACM, 15(9):820-826, 1972.
-
(1972)
Communications of the ACM
, vol.15
, Issue.9
, pp. 820-826
-
-
Bartels, R.H.1
Stewart, G.W.2
-
3
-
-
84899632538
-
Preconditioned krylov subspace methods for sampling multivariate Gaussian distributions
-
Edmond Chow and Yousef Saad. Preconditioned krylov subspace methods for sampling multivariate gaussian distributions. SIAM Journal on Scientific Computing, 36(2):A588-A608, 2014.
-
(2014)
SIAM Journal on Scientific Computing
, vol.36
, Issue.2
, pp. A588-A608
-
-
Chow, E.1
Saad, Y.2
-
4
-
-
9244230097
-
Population time series: Process variability, observation errors, missing values, lags, and hidden states
-
J.S. Clark and O.N. Bjørnstad. Population time series: process variability, observation errors, missing values, lags, and hidden states. Ecology, 85(11):3140-3150, 2004.
-
(2004)
Ecology
, vol.85
, Issue.11
, pp. 3140-3150
-
-
Clark, J.S.1
Bjørnstad, O.N.2
-
8
-
-
0001707575
-
The block lanczos method for computing eigenvalues
-
Gene Howard Golub and Richard Underwood. The block Lanczos method for computing eigenvalues. Mathematical software, 3:361-377, 1977.
-
(1977)
Mathematical Software
, vol.3
, pp. 361-377
-
-
Golub, G.H.1
Underwood, R.2
-
10
-
-
0019654284
-
Cubic convolution interpolation for digital image processing
-
Robert G Keys. Cubic convolution interpolation for digital image processing. Acoustics, Speech and Signal Processing, IEEE Transactions on, 29(6):1153-1160, 1981.
-
(1981)
Acoustics, Speech and Signal Processing, IEEE Transactions On
, vol.29
, Issue.6
, pp. 1153-1160
-
-
Keys, R.G.1
-
13
-
-
84983172671
-
Classification of sparse and irregularly sampled time series with mixtures of expected Gaussian kernels and random features
-
Steven Cheng-Xian Li and Benjmain M. Marlin. Classification of sparse and irregularly sampled time series with mixtures of expected Gaussian kernels and random features. In 31st Conference on Uncertainty in Artificial Intelligence, 2015.
-
(2015)
31st Conference on Uncertainty in Artificial Intelligence
-
-
Li, S.C.-X.1
Marlin, B.M.2
-
15
-
-
84857720381
-
Unsupervised pattern discovery in electronic health care data using probabilistic clustering models
-
Benjamin M. Marlin, David C. Kale, Robinder G. Khemani, and Randall C. Wetzel. Unsupervised pattern discovery in electronic health care data using probabilistic clustering models. In Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium, pages 389-398, 2012.
-
(2012)
Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium
, pp. 389-398
-
-
Marlin, B.M.1
Kale, D.C.2
Khemani, R.G.3
Wetzel, R.C.4
-
18
-
-
0032791876
-
The lomb-scargle periodogram in biological rhythm research: Analysis of incomplete and unequally spaced time-series
-
T. Ruf. The lomb-scargle periodogram in biological rhythm research: analysis of incomplete and unequally spaced time-series. Biological Rhythm Research, 30(2):178-201, 1999.
-
(1999)
Biological Rhythm Research
, vol.30
, Issue.2
, pp. 178-201
-
-
Ruf, T.1
-
19
-
-
0000767453
-
On the rates of convergence of the lanczos and the block-lanczos methods
-
Yousef Saad. On the rates of convergence of the Lanczos and the block-Lanczos methods. SIAM Journal on Numerical Analysis, 17(5):687-706, 1980.
-
(1980)
SIAM Journal on Numerical Analysis
, vol.17
, Issue.5
, pp. 687-706
-
-
Saad, Y.1
-
21
-
-
0001135997
-
Studies in astronomical time series analysis. II-statistical aspects of spectral analysis of unevenly spaced data
-
Jeffrey D Scargle. Studies in astronomical time series analysis. ii-statistical aspects of spectral analysis of unevenly spaced data. The Astrophysical Journal, 263:835-853, 1982.
-
(1982)
The Astrophysical Journal
, vol.263
, pp. 835-853
-
-
Scargle, J.D.1
-
22
-
-
0031433715
-
Spectrum: Spectral analysis of unevenly spaced paleoclimatic time series
-
M. Schulz and K. Stattegger. Spectrum: Spectral analysis of unevenly spaced paleoclimatic time series. Computers & Geosciences, 23(9):929-945, 1997.
-
(1997)
Computers & Geosciences
, vol.23
, Issue.9
, pp. 929-945
-
-
Schulz, M.1
Stattegger, K.2
|