-
1
-
-
0001681052
-
The collinearity problem in linear regression. The partial least squares approach to generalized inverses
-
Wold S, Ruhe A, Wold H, Dunn WJ III. The collinearity problem in linear regression. The partial least squares approach to generalized inverses. SIAM J. Sci. Stat. Comput. 1984; 5: 735-743.
-
(1984)
SIAM J. Sci. Stat. Comput
, vol.5
, pp. 735-743
-
-
Wold, S.1
Ruhe, A.2
Wold, H.3
Dunn III, W.J.4
-
4
-
-
0036085968
-
O2-PLS for qualitative and quantitative analysis in multivariate calibration
-
Trygg J. O2-PLS for qualitative and quantitative analysis in multivariate calibration. J. Chemometrics 2002; 16: 283-293.
-
(2002)
J. Chemometrics
, vol.16
, pp. 283-293
-
-
Trygg, J.1
-
5
-
-
0037282744
-
O2-PLS, a two-block (X-Y) latent variable regression (LVR) method with an integral OSC filter
-
Trygg J, Wold S. O2-PLS, a two-block (X-Y) latent variable regression (LVR) method with an integral OSC filter. J. Chemometrics 2003; 17: 53-64.
-
(2003)
J. Chemometrics
, vol.17
, pp. 53-64
-
-
Trygg, J.1
Wold, S.2
-
6
-
-
0036083139
-
Orthogonal projections to latent structures (O-PLS)
-
Trygg J, Wold S. Orthogonal projections to latent structures (O-PLS). J. Chemometrics 2002; 16: 119-128.
-
(2002)
J. Chemometrics
, vol.16
, pp. 119-128
-
-
Trygg, J.1
Wold, S.2
-
8
-
-
0036892637
-
Prediction of human clearance from animal data and molecular structural parameters using multivariate regression analysis
-
Wajima T, Fukumura K, Yano Y, Oguma T. Prediction of human clearance from animal data and molecular structural parameters using multivariate regression analysis. J. Pharm. Sci. 2002; 91: 2489-2499.
-
(2002)
J. Pharm. Sci
, vol.91
, pp. 2489-2499
-
-
Wajima, T.1
Fukumura, K.2
Yano, Y.3
Oguma, T.4
-
9
-
-
0030905036
-
Mutagenicity testing of organic extracts of diesel exhaust particles after fractionation and recombination
-
Østby L, Engen S, Melbye A, Eide I. Mutagenicity testing of organic extracts of diesel exhaust particles after fractionation and recombination. Arch. Toxicol. 1997; 71: 314-319.
-
(1997)
Arch. Toxicol
, vol.71
, pp. 314-319
-
-
Østby, L.1
Engen, S.2
Melbye, A.3
Eide, I.4
-
10
-
-
0000874557
-
Theoretical foundations of the potential function method in pattern recognition learning
-
Aizerman M, Braverman E, Rozonoer L. Theoretical foundations of the potential function method in pattern recognition learning. Automat. Rem. Contr. 1964; 25: 821-837.
-
(1964)
Automat. Rem. Contr
, vol.25
, pp. 821-837
-
-
Aizerman, M.1
Braverman, E.2
Rozonoer, L.3
-
11
-
-
0001500115
-
Functions of positive and negative type and their connection with the theory of integral equations
-
Mercer J. Functions of positive and negative type and their connection with the theory of integral equations. Philos. Trans. R. Soc. Lond. 1909; A209: 415-446.
-
(1909)
Philos. Trans. R. Soc. Lond
, vol.A209
, pp. 415-446
-
-
Mercer, J.1
-
14
-
-
84984286248
-
A PLS kernel algorithm for data sets with many variables and fewer objects. Part 1: Theory and algorithm
-
Rännar S, Lindgren F, Geladi P, Wold S. A PLS kernel algorithm for data sets with many variables and fewer objects. Part 1: Theory and algorithm. J. Chemometrics 1994; 8: 111-125.
-
(1994)
J. Chemometrics
, vol.8
, pp. 111-125
-
-
Rännar, S.1
Lindgren, F.2
Geladi, P.3
Wold, S.4
-
15
-
-
0030607269
-
The radial basis functions - partial least squares approach as a flexible non-linear regression technique
-
Walczak B, Massart DL. The radial basis functions - partial least squares approach as a flexible non-linear regression technique. Anal. Chim. Acta 1996; 331: 177-185.
-
(1996)
Anal. Chim. Acta
, vol.331
, pp. 177-185
-
-
Walczak, B.1
Massart, D.L.2
-
16
-
-
0038259120
-
Kernel partial least squares regression in reproducing kernel Hilbert space
-
Rosipal R, Trejo LJ. Kernel partial least squares regression in reproducing kernel Hilbert space. J. Mach. Learn. Res. 2002; 2: 97-123.
-
(2002)
J. Mach. Learn. Res
, vol.2
, pp. 97-123
-
-
Rosipal, R.1
Trejo, L.J.2
-
17
-
-
32444444605
-
About kernel latent variable approaches and SVM
-
Czekaj T, Wu W, Walczak B. About kernel latent variable approaches and SVM. J. Chemometrics 2005; 19: 341-354.
-
(2005)
J. Chemometrics
, vol.19
, pp. 341-354
-
-
Czekaj, T.1
Wu, W.2
Walczak, B.3
-
18
-
-
27144489164
-
A tutorial on support vector machines for pattern recognition
-
Burges CJC. A tutorial on support vector machines for pattern recognition. Data Min. Knowl. Disc. 1998; 2: 121-167.
-
(1998)
Data Min. Knowl. Disc
, vol.2
, pp. 121-167
-
-
Burges, C.J.C.1
-
19
-
-
0035272287
-
An introduction to kernel-based learning algorithms
-
Müller KR, Mika S, Rätsch G, Tsuda K, Schölkopf B. An introduction to kernel-based learning algorithms. IEEE Trans. Neural Netw. 2001; 12: 181-201.
-
(2001)
IEEE Trans. Neural Netw
, vol.12
, pp. 181-201
-
-
Müller, K.R.1
Mika, S.2
Rätsch, G.3
Tsuda, K.4
Schölkopf, B.5
-
20
-
-
0034133513
-
Distance-based outliers: Algorithms and applications
-
Knorr EM, Ng RT, Tucakov V. Distance-based outliers: algorithms and applications. VLDB J. 2000; 8: 237-253.
-
(2000)
VLDB J
, vol.8
, pp. 237-253
-
-
Knorr, E.M.1
Ng, R.T.2
Tucakov, V.3
-
21
-
-
0037061158
-
Quantitative in-line monitoring of powder blending by near infrared reflection spectroscopy
-
Berntsson O, Danielsson LG, Lagerholm B, Folestad S. Quantitative in-line monitoring of powder blending by near infrared reflection spectroscopy. Powder Technol. 2002; 123: 185-193.
-
(2002)
Powder Technol
, vol.123
, pp. 185-193
-
-
Berntsson, O.1
Danielsson, L.G.2
Lagerholm, B.3
Folestad, S.4
-
22
-
-
0003826721
-
-
2nd edn, Umetrics Academy: Umeå, Sweden
-
Eriksson L, Johansson E, Kettaneh-Wold N, Trygg J, Wikström C, Wold S. Multi- and Megavariate Data Analysis - Part I Basic Principles and Applications (2nd edn). Umetrics Academy: Umeå, Sweden , 2006.
-
(2006)
Multi- and Megavariate Data Analysis - Part I Basic Principles and Applications
-
-
Eriksson, L.1
Johansson, E.2
Kettaneh-Wold, N.3
Trygg, J.4
Wikström, C.5
Wold, S.6
-
23
-
-
34249324050
-
Separating Y-predictive and Y-orthogonal variation in multi-block spectral data
-
Eriksson L, Toft M, Johansson E, Wold S, Trygg J. Separating Y-predictive and Y-orthogonal variation in multi-block spectral data. J. Chemometrics 2006; 20: 352-361.
-
(2006)
J. Chemometrics
, vol.20
, pp. 352-361
-
-
Eriksson, L.1
Toft, M.2
Johansson, E.3
Wold, S.4
Trygg, J.5
-
24
-
-
0024701578
-
Standard normal variate transformation and de-trending of near-infrared diffuse reflectance spectra
-
Barnes RJ, Dhanoa MS, Lister SJ. Standard normal variate transformation and de-trending of near-infrared diffuse reflectance spectra. Appl. Spectr. 1989; 43: 772-777.
-
(1989)
Appl. Spectr
, vol.43
, pp. 772-777
-
-
Barnes, R.J.1
Dhanoa, M.S.2
Lister, S.J.3
-
25
-
-
0030607717
-
Neural network learning to non-linear principal component analysis
-
Jiang JH, Wang JH, Chu X, Yu RQ. Neural network learning to non-linear principal component analysis. Anal. Chim. Acta 1996; 336: 209-222.
-
(1996)
Anal. Chim. Acta
, vol.336
, pp. 209-222
-
-
Jiang, J.H.1
Wang, J.H.2
Chu, X.3
Yu, R.Q.4
-
26
-
-
1342343985
-
Support vector machines for the discrimination of analytical chemical data: Application to the determination of tablet production by pyrolysis-gas chromatography-mass spectrometry
-
Zomer S, Brereton RG, Carter JF, Eckers C. Support vector machines for the discrimination of analytical chemical data: application to the determination of tablet production by pyrolysis-gas chromatography-mass spectrometry. Analyst 2004; 129: 175-181.
-
(2004)
Analyst
, vol.129
, pp. 175-181
-
-
Zomer, S.1
Brereton, R.G.2
Carter, J.F.3
Eckers, C.4
-
27
-
-
2442569953
-
Toxicological classification of urine samples using pattern recognition techniques and capillary electrophoresis
-
Zomer S, Guillo C, Brereton RG, Hanna-Brown M. Toxicological classification of urine samples using pattern recognition techniques and capillary electrophoresis. Anal. Bioanal. Chem. 2004; 378: 2008-2020.
-
(2004)
Anal. Bioanal. Chem
, vol.378
, pp. 2008-2020
-
-
Zomer, S.1
Guillo, C.2
Brereton, R.G.3
Hanna-Brown, M.4
-
28
-
-
0037191113
-
A flexible classification approach with optimal generalisation performance: Support vector machines
-
Belousov AI, Verzakov SA, von Frese J. A flexible classification approach with optimal generalisation performance: support vector machines. Chemometrics Intell. Lab. Syst. 2002; 64: 15-25.
-
(2002)
Chemometrics Intell. Lab. Syst
, vol.64
, pp. 15-25
-
-
Belousov, A.I.1
Verzakov, S.A.2
von Frese, J.3
-
29
-
-
24044461725
-
A novel multivariate regression approach based on kernel partial least squares with orthogonal signal correction
-
Kim K, Lee JM, Lee IB. A novel multivariate regression approach based on kernel partial least squares with orthogonal signal correction. Chemometrics Intell. Lab. Syst. 2005; 79: 22-30.
-
(2005)
Chemometrics Intell. Lab. Syst
, vol.79
, pp. 22-30
-
-
Kim, K.1
Lee, J.M.2
Lee, I.B.3
-
30
-
-
34249335649
-
OPLS discriminant analysis: Combining the strengths of PLS-DA and SIMCA classification
-
Bylesjö M, Rantalainen M, Cloarec O, Nicholson JK, Holmes E, Trygg J. OPLS discriminant analysis: combining the strengths of PLS-DA and SIMCA classification. J. Chemometrics 2006; 20: 341-351.
-
(2006)
J. Chemometrics
, vol.20
, pp. 341-351
-
-
Bylesjö, M.1
Rantalainen, M.2
Cloarec, O.3
Nicholson, J.K.4
Holmes, E.5
Trygg, J.6
-
31
-
-
33745561205
-
An introduction to variable and feature selection
-
Guyon I, Elisseeff A. An introduction to variable and feature selection. J. Mach. Learn. Res. 2003; 3: 1157-1182.
-
(2003)
J. Mach. Learn. Res
, vol.3
, pp. 1157-1182
-
-
Guyon, I.1
Elisseeff, A.2
-
32
-
-
0036161259
-
Gene selection for cancer classification using support vector machines
-
Guyon I, Weston J, Barnhill S, Vapnik V. Gene selection for cancer classification using support vector machines. Mach. Learn. 2002; 46: 389-422.
-
(2002)
Mach. Learn
, vol.46
, pp. 389-422
-
-
Guyon, I.1
Weston, J.2
Barnhill, S.3
Vapnik, V.4
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