-
1
-
-
0028496468
-
Learning boolean concepts in the presence of many irrelevant features
-
H. Almuallim T.G. Dietterich Learning boolean concepts in the presence of many irrelevant features Artificial Intelligence 69 1–2 1994 279 305
-
(1994)
Artificial Intelligence
, vol.69
, Issue.1–2
, pp. 279-305
-
-
Almuallim, H.1
Dietterich, T.G.2
-
2
-
-
85119722781
-
-
Dash, M., Choi, K., Scheuermann, P., Liu, H., Feature selection for clustering C a filter solution, in: Proceedings of the Second International Conference on Data Mining, pp. 115–122, 2002.
-
-
-
-
4
-
-
33746075538
-
A principal component analysis approach to the star formation history of elliptical galaxies in compact groups
-
I. Ferreras A. Pasquali R.R. de Carvalho A principal component analysis approach to the star formation history of elliptical galaxies in compact groups MNRAS 370 2006 828 836
-
(2006)
MNRAS
, vol.370
, pp. 828-836
-
-
Ferreras, I.1
Pasquali, A.2
de Carvalho, R.R.3
-
6
-
-
85119727661
-
-
Kira, K., Rendell, L.A. A practical approach to feature selection, in: Sleeman, D., Edwards, P. (Eds.), Machine Learning: Proceedings of International Conference (ICML92). Morgan Kaufmann, pp. 249–256, 1992.
-
-
-
-
8
-
-
0003507805
-
Feature Selection for Knowledge Discovery and Data Mining
-
H. Liu H. Motoda Feature Selection for Knowledge Discovery and Data Mining 1998 Kluwer Boston
-
(1998)
-
-
Liu, H.1
Motoda, H.2
-
9
-
-
33144481453
-
Ensemble learning for independent component analysis of normal galaxy spectra
-
H. Lu H. Zhou J. Wang Ensemble learning for independent component analysis of normal galaxy spectra AJ 131 2 2006 790 805
-
(2006)
AJ
, vol.131
, Issue.2
, pp. 790-805
-
-
Lu, H.1
Zhou, H.2
Wang, J.3
-
10
-
-
0003971926
-
Subset Selection in Regression
-
A. Miller Subset Selection in Regression second ed. 2002 Chapman & Hall/CRC
-
(2002)
-
-
Miller, A.1
-
11
-
-
0004255908
-
Machine Learning
-
T.M. Mitchell Machine Learning 1997 McGraw-Hill International Editions
-
(1997)
-
-
Mitchell, T.M.1
-
12
-
-
0003500248
-
C4.5: Programs for Machine Learning
-
J.R. Quinlan C4.5: Programs for Machine Learning 1993 Morgan Kaufmann
-
(1993)
-
-
Quinlan, J.R.1
-
13
-
-
85119757780
-
Association measures in the induction graphs: a statistic approach of the generality-precision referring
-
R. Rakotomalala D. Zighed Association measures in the induction graphs: a statistic approach of the generality-precision referring Proceedings of AIDRI’97 1997 131 134
-
(1997)
Proceedings of AIDRI’97
, pp. 131-134
-
-
Rakotomalala, R.1
Zighed, D.2
-
14
-
-
34249938937
-
Estimation of stellar atmospheric parameters from SDSS/SEGUE spectra
-
P. Re Fiorentin C.A.L. Bailer-Jones Y.S. Lee Estimation of stellar atmospheric parameters from SDSS/SEGUE spectra A&A 467 3 2007 1373 1387
-
(2007)
A&A
, vol.467
, Issue.3
, pp. 1373-1387
-
-
Re Fiorentin, P.1
Bailer-Jones, C.A.L.2
Lee, Y.S.3
-
15
-
-
0141990695
-
Theoretical and empirical analysis of ReliefF and RReliefF
-
M. Robnik-Šikonja I. Kononenko Theoretical and empirical analysis of ReliefF and RReliefF Machine Learning Journal 53 2003 23 69
-
(2003)
Machine Learning Journal
, vol.53
, pp. 23-69
-
-
Robnik-Šikonja, M.1
Kononenko, I.2
-
16
-
-
85119769068
-
Probability, Analysis of Data and Statistics
-
G. Saporta Probability, Analysis of Data and Statistics 1990 Technip
-
(1990)
-
-
Saporta, G.1
-
17
-
-
85119739983
-
-
Zhang, Y., Luo, A., Zhao, Y., An automated classification algorithm for multiwavelength data, in: Quinn, P., Bridger, A. (Eds.), Optimizing Scientific Return for Astronomy through Information Technologies. Proceedings of SPIE 5493, pp. 483–490, 2004.
-
-
-
-
18
-
-
3442891315
-
Automated clustering algorithms for classification of astronomical objects
-
Y. Zhang Y. Zhao Automated clustering algorithms for classification of astronomical objects A&A 422 2004 1113 1121
-
(2004)
A&A
, vol.422
, pp. 1113-1121
-
-
Zhang, Y.1
Zhao, Y.2
|