-
1
-
-
0033653007
-
Application of PLS multivariate calibration for the determination of the hydroxyl group content in calcined silica by DRIFTS
-
Peussa M, Härkönen S, Puputti J, Niinistö L (2000) Application of PLS multivariate calibration for the determination of the hydroxyl group content in calcined silica by DRIFTS. J Chemom 14:501-512.
-
(2000)
J Chemom
, vol.14
, pp. 501-512
-
-
Peussa, M.1
Härkönen, S.2
Puputti, J.3
Niinistö, L.4
-
2
-
-
0036086103
-
Multivariate calibration stability: A comparison of methods
-
Marx BD, Eilers PHC (2002) Multivariate calibration stability: a comparison of methods. J Chemom 16:129-140.
-
(2002)
J Chemom
, vol.16
, pp. 129-140
-
-
Marx, B.D.1
Eilers, P.H.C.2
-
4
-
-
0032573346
-
The optimal brain surgeon for pruning neural network architecture applied to multivariate calibration
-
Poppi RJ, Massart DL (1998) The optimal brain surgeon for pruning neural network architecture applied to multivariate calibration. Anal Chim Acta 375:187-195.
-
(1998)
Anal Chim Acta
, vol.375
, pp. 187-195
-
-
Poppi, R.J.1
Massart, D.L.2
-
5
-
-
0001447184
-
Neural network studies: 1. comparison of overfitting and overtraining
-
Tetko VI, Livingstone JD, Luik IA (1995) Neural network studies: 1. comparison of overfitting and overtraining. J Chem Inform Comp Sci 35:826-833.
-
(1995)
J Chem Inform Comp Sci
, vol.35
, pp. 826-833
-
-
Tetko, V.I.1
Livingstone, J.D.2
Luik, I.A.3
-
6
-
-
0000513303
-
Principled architecture selection for neural networks: Application to corporate bond rating prediction
-
J. E. Moody, S. J. Hanson, and R. P. Lippmann (Eds.), Morgan Kaufmann Publishers, Inc., Menlo Park
-
Moody J, Utans J (1992) Principled architecture selection for neural networks: application to corporate bond rating prediction. In: Moody JE, Hanson SJ, Lippmann RP (eds) Advances in neural Information processing systems. Morgan Kaufmann Publishers, Inc., Menlo Park, pp. 683-690.
-
(1992)
Advances in Neural Information Processing Systems
, pp. 683-690
-
-
Moody, J.1
Utans, J.2
-
10
-
-
0036685120
-
Applicational aspects of support vector machines
-
Belousov AI, Verzakov SA, von Frese J (2002) Applicational aspects of support vector machines. J Chemom 16:482-489.
-
(2002)
J Chemom
, vol.16
, pp. 482-489
-
-
Belousov, A.I.1
Verzakov, S.A.2
von Frese, J.3
-
11
-
-
17044405923
-
Toward integrating feature selection algorithms for classification and clustering
-
Liu H, Yu L (2005) Toward integrating feature selection algorithms for classification and clustering. IEEE Trans Knowl Data Eng 17(3):1-12.
-
(2005)
IEEE Trans Knowl Data Eng
, vol.17
, Issue.3
, pp. 1-12
-
-
Liu, H.1
Yu, L.2
-
14
-
-
0003573483
-
Minima of functions of several variables with inequalities as side constraints
-
Department of Mathematics, University of Chicago
-
Karush W (1939) Minima of functions of several variables with inequalities as side constraints. Master's Thesis, Department of Mathematics, University of Chicago.
-
(1939)
Master's Thesis
-
-
Karush, W.1
-
16
-
-
0001500115
-
Functions of positive and negative type and their connection with the theory of integral equations
-
Mercer J (1909) Functions of positive and negative type and their connection with the theory of integral equations. Philos Trans Roy Soc Lond A 209:415-446.
-
(1909)
Philos Trans Roy Soc Lond A
, vol.209
, pp. 415-446
-
-
Mercer, J.1
-
17
-
-
4944228528
-
-
Technical report, Department of Computer Science and Information Engineering of National Taiwan University, (14 August 2003)
-
Hsu CW, Chang CC, Lin CJ (2003) A practical guide to support vector classification. Technical report, Department of Computer Science and Information Engineering of National Taiwan University, Available: http://www.csie.ntu.edu.tw/~cjlin/papers/guide/guide.pdf (14 August 2003).
-
(2003)
A Practical Guide to Support Vector Classification
-
-
Hsu, C.W.1
Chang, C.C.2
Lin, C.J.3
-
18
-
-
0141912837
-
-
University of Dortmund, Lehrstuhl Informatik 8, (14 August 2003)
-
Rüping S (2000) Mysvm-Manual. University of Dortmund, Lehrstuhl Informatik 8, Available: http://www-ai.cs.uni-dortmund.de/SOFTWARE/mySvm/(14 August 2003).
-
(2000)
Mysvm-Manual
-
-
Rüping, S.1
-
22
-
-
33745561205
-
An introduction to variable and feature selection
-
Guyon I, Elisseeff A (2003) An introduction to variable and feature selection. J Mach Learn Res 3:1157-1182.
-
(2003)
J Mach Learn Res
, vol.3
, pp. 1157-1182
-
-
Guyon, I.1
Elisseeff, A.2
-
23
-
-
30344453044
-
Evolving feature selection
-
Liu H, Dougherty ER, Dy JG, Torkkola K, Tuv E, Peng H, Ding C, Long F, Berens M, Parsons L, Yu L, Zhao Z, Forman G (2005) Evolving feature selection. IEEE Trans Intell Syst 20(6):64-76.
-
(2005)
IEEE Trans Intell Syst
, vol.20
, Issue.6
, pp. 64-76
-
-
Liu, H.1
Dougherty, E.R.2
Dy, J.G.3
Torkkola, K.4
Tuv, E.5
Peng, H.6
Ding, C.7
Long, F.8
Berens, M.9
Parsons, L.10
Yu, L.11
Zhao, Z.12
Forman, G.13
-
25
-
-
22944447138
-
-
In: Lecture Notes on Artificial Intelligence 3173 (PRICAI2004), Springer
-
Li GZ, Yang J, Liu GP, Xue L (2004) Feature selection for multi-class problems using support vector machines. In: Lecture Notes on Artificial Intelligence 3173 (PRICAI2004), Springer 292-300.
-
(2004)
Feature Selection for Multi-class Problems Using Support Vector Machines
, pp. 292-300
-
-
Li, G.Z.1
Yang, J.2
Liu, G.P.3
Xue, L.4
-
26
-
-
34547481968
-
Embedded methods
-
I. Guyon, S. Gunn, and M. Nikravesh (Eds.), Berlin: Physica-Verlag, Springer
-
Lal TN, Chapelle O, Weston J, Elisseeff A (2006) Embedded methods. In: Guyon I, Gunn S, Nikravesh M (eds) Feature extraction, foundations and applications. Physica-Verlag, Springer, Berlin.
-
(2006)
Feature Extraction, Foundations and Applications
-
-
Lal, T.N.1
Chapelle, O.2
Weston, J.3
Elisseeff, A.4
-
27
-
-
24344458137
-
Feature selection based on mutual information: Criteria of max-dependency, max-relevance, and min-redundancy
-
Peng H, Long F, Ding C (2005) Feature selection based on mutual information: criteria of max-dependency, max-relevance, and min-redundancy. IEEE Trans Pattern Anal Mach Intell 27(8):1226-1238.
-
(2005)
IEEE Trans Pattern Anal Mach Intell
, vol.27
, Issue.8
, pp. 1226-1238
-
-
Peng, H.1
Long, F.2
Ding, C.3
-
28
-
-
0036161259
-
Gene selection for cancer classification using support vector machines
-
Guyon I, Weston J, Barnhill S, Vapnik V (2002) Gene selection for cancer classification using support vector machines. Mach Learn 46:389-422.
-
(2002)
Mach Learn
, vol.46
, pp. 389-422
-
-
Guyon, I.1
Weston, J.2
Barnhill, S.3
Vapnik, V.4
|