... 220–227.
HAASDONK, B. and BURKHARDT, H. (2007): Invariant kernels for pattern analysis and
machine learning. Machine Learning, 68, 35– 61.
SCHÖLKOPF, B. and SMOLA, A. J. (2002): Learning with Kernels: ... E. L. and SHAPIRE, R. E. and SINGER, Y. (2000): Reducing Multiclasss to
Binary: A Unifying Approach for Margin Classifiers. Journal of Machine Learning Re-
search 1,...
... follows:
E
(t +1)
|···∼W
2G +2gD,(2h+ 2
K
k =1
6
(t)
1
k
)
1
,
S
(t +1)
|···∼D(J+ n
1
, ,J +n
K
),
z
(t +1)
k
|···∼N
(n
k
6
(t)
1
k
+ <)
1
(n
k
6
(t)
1
k
y
k
+ <[),(n
k
6
(t)
1
k
+ <)
1
,
6
1( t +1)
k
|···∼W
⎛
⎝
2D ... in fact is stable.
0 10 00 2000 3000 4000 5000
0.0 1. 0 2.0 3.0
DA iteration
mu1
0 10 00 2000 3000 4000 5000
0.0 1. 0 2.0 3.0
DA...
... B
0
= B and Y
0
= Y the design and response data matrices, respec-
tively. Define t
1
= B
0
w
1
and u
1
= Y
0
c
1
as the first MAPLSS components, where
the weighting unit vectors w
1
and c
1
are ... La Revue de Modulad, 31, 1 31.
D’ AMBRA, L. and LAURO, N. (19 89): Non symetrical analysis of three-way contingency
tables. Multiway Data Analysis, 3 01 315 .
ESCOFIER...