-
1
-
-
33745428009
-
-
Laub J., Roth V., Buhmann J.M., Müller K.-R. Pattern Recognit. 2006, 39:1815.
-
(2006)
Pattern Recognit.
, vol.39
, pp. 1815
-
-
Laub, J.1
Roth, V.2
Buhmann, J.M.3
Müller, K.-R.4
-
2
-
-
67649494468
-
-
Zaki N., Lazarova-Molnar S., El-Hajj W., Campbell P. BMC Bioinformatics 2009, 10:150.
-
(2009)
BMC Bioinformatics
, vol.10
, pp. 150
-
-
Zaki, N.1
Lazarova-Molnar, S.2
El-Hajj, W.3
Campbell, P.4
-
7
-
-
0003825410
-
-
Chapman and Hall/CRC Press, Boca Raton, FL, USA
-
T.F. Cox, M.A.A Cox, Multidimensional Scaling, Chapman and Hall/CRC Press, Boca Raton, FL, USA, 2000.
-
(2000)
Multidimensional Scaling
-
-
Cox, T.F.1
Cox, M.A.A.2
-
8
-
-
84865114689
-
-
An Analysis of Transformation on Non-Positive Semidefinite Similarity Matrix for Kernel Machines, Technical Report, UCSB, Santa Barbara, CA, USA,
-
G. Wu, Z. Zhang, E.Y. Chang. An Analysis of Transformation on Non-Positive Semidefinite Similarity Matrix for Kernel Machines, Technical Report, UCSB, Santa Barbara, CA, USA, 2005.
-
(2005)
-
-
Wu, G.1
Zhang, Z.2
Chang, E.Y.3
-
15
-
-
0031375732
-
-
J. Principe, L. Gile, N. Morgan, E. Wilson (Editors), Neural Networks for Signal Processing VII - Proc. 1997 IEEE Workshop, IEEE, New York, USA,
-
S. Mukherjee, E. Osuna, F. Girosi. Non-linear prediction of chaotic time series using a support vector machine, in: J. Principe, L. Gile, N. Morgan, E. Wilson (Editors), Neural Networks for Signal Processing VII - Proc. 1997 IEEE Workshop, IEEE, New York, USA, 1997.
-
(1997)
Non-linear prediction of chaotic time series using a support vector machine
-
-
Mukherjee, S.1
Osuna, E.2
Girosi, F.3
-
17
-
-
70449418439
-
-
Optimization, MIT Press, Cambridge, MA, USA, Regularization
-
Schölkopf B., Smola A.J. Learning with Kernels: Support Vector Machines 2001, Optimization, MIT Press, Cambridge, MA, USA, Regularization.
-
(2001)
Learning with Kernels: Support Vector Machines
-
-
Schölkopf, B.1
Smola, A.J.2
-
23
-
-
0041995203
-
-
Pekalska E., Paclík P., Duin R.P.W., Machine J. Learn. Res. 2001, 2:175.
-
(2001)
Learn. Res.
, vol.2
, pp. 175
-
-
Pekalska, E.1
Paclík, P.2
Duin, R.P.W.3
Machine, J.4
-
26
-
-
0346451740
-
The kernel trick for distances, in: Advances in Neural Information Processing Systems 13
-
MIT Press, Cambridge, MA, USA.
-
B. Schölkopf, The kernel trick for distances, in: Advances in Neural Information Processing Systems 13, Proc. Fourteenth Annual Neural Info. Process. Syst. Conf. (NIPS 2000), MIT Press, Cambridge, MA, USA.
-
Proc. Fourteenth Annual Neural Info. Process. Syst. Conf. (NIPS 2000)
-
-
Schölkopf, B.1
-
28
-
-
84865131936
-
-
[29 September 2004].
-
[29 September 2004]. http://genome-www5stanford.edu/cgi-bin/publication/viewPublication.pl?pub_no=107.
-
-
-
-
30
-
-
0017714604
-
-
(Washington, DC)
-
M.C. Mackey, L. Glass, Science (Washington, DC) 197 (1977) 287.
-
(1977)
Science
, vol.197
, pp. 287
-
-
Mackey, M.C.1
Glass, L.2
-
31
-
-
84865134960
-
-
Mackey-Glass time series generator
-
Mackey-Glass time series generator (). http://www.mathworks.com/matlabcentral/fileexchange/24390-mackey-glass-time-series-generator/content/html/mackeyglass.html.
-
-
-
-
33
-
-
0003674396
-
-
Wiley, New York, USA
-
Vogt W., Nagel D., Sator H. Cluster Analysis in Clinical Chemistry; A Model 1987, Wiley, New York, USA.
-
(1987)
Cluster Analysis in Clinical Chemistry; A Model
-
-
Vogt, W.1
Nagel, D.2
Sator, H.3
-
37
-
-
50649107196
-
Two Approaches for Discriminant Partial Least Square
-
Springer-Verlag, Berlin, Germany, M. Schader, W. Gaul, M. Vichi (Eds.)
-
Sabatier R., Vivein M., Amenta P. Two Approaches for Discriminant Partial Least Square. Between Data Science and Applied Data Analysis 2003, Springer-Verlag, Berlin, Germany. M. Schader, W. Gaul, M. Vichi (Eds.).
-
(2003)
Between Data Science and Applied Data Analysis
-
-
Sabatier, R.1
Vivein, M.2
Amenta, P.3
-
41
-
-
21444443325
-
-
Smilde A.K., Jansen J.J., Hoefsloot H.C.J., Van der Greef J., Timmerman M.E. Bioinformatics 2005, 21:3043.
-
(2005)
Bioinformatics
, vol.21
, pp. 3043
-
-
Smilde, A.K.1
Jansen, J.J.2
Hoefsloot, H.C.J.3
Van der Greef, J.4
Timmerman, M.E.5
-
42
-
-
32444450572
-
-
Jansen J.J., Hoefsloot H.C.J., Van der Greef J., Timmerman M.E., Westerhuis J.A., Smilde A.K. J. Chemom. 2005, 19:469.
-
(2005)
J. Chemom.
, vol.19
, pp. 469
-
-
Jansen, J.J.1
Hoefsloot, H.C.J.2
Van der Greef, J.3
Timmerman, M.E.4
Westerhuis, J.A.5
Smilde, A.K.6
-
43
-
-
38549132351
-
-
Vis D.J., Westerhuis J.A., Smilde A.K., van der Greef J. BMC Bioinform. 2007, 8:322.
-
(2007)
BMC Bioinform.
, vol.8
, pp. 322
-
-
Vis, D.J.1
Westerhuis, J.A.2
Smilde, A.K.3
van der Greef, J.4
-
44
-
-
67649774619
-
-
de Haan J.R., Bauerschmidt S., van Schaik R.C., Piek E., Buydens L.M.C., Wehrens R. Chemom. Intell. Lab. Syst. 2009, 98:38.
-
(2009)
Chemom. Intell. Lab. Syst.
, vol.98
, pp. 38
-
-
de Haan, J.R.1
Bauerschmidt, S.2
van Schaik, R.C.3
Piek, E.4
Buydens, L.M.C.5
Wehrens, R.6
-
45
-
-
84857039804
-
-
Zerzucha P., Boguszewska D., Zagdanska B., Walczak B. Anal. Chim. Acta 2012, 717:1.
-
(2012)
Anal. Chim. Acta
, vol.717
, pp. 1
-
-
Zerzucha, P.1
Boguszewska, D.2
Zagdanska, B.3
Walczak, B.4
-
46
-
-
84865134961
-
-
OPTICS: Ordering Points to Identify the Clustering Structure (available from ).
-
M. Ankrest, M. Breunig, H. Kriegel, J. Sander, OPTICS: Ordering Points to Identify the Clustering Structure (available from ). http://www.dbs.informatik.uni-muenchen.de/cgi-bin/papers?query=-CO.
-
-
-
Ankrest, M.1
Breunig, M.2
Kriegel, H.3
Sander, J.4
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