Aucun%20titre%20de%20diapositive - PowerPoint PPT Presentation

About This Presentation
Title:

Aucun%20titre%20de%20diapositive

Description:

Jos M.F. TEN BERGE. Department of psychology. University of Groningen. The Netherlands ... Gower(1975); Van de Geer(1984);Ten Berge (1986,1988) ... – PowerPoint PPT presentation

Number of Views:19
Avg rating:3.0/5.0
Slides: 41
Provided by: mohamme91
Category:

less

Transcript and Presenter's Notes

Title: Aucun%20titre%20de%20diapositive


1
(No Transcript)
2
Global Optimality of the Successive MaxBet
Algorithm
Summary. 1. The Successive MaxBet Problem
(SMP). 2. The MaxBet Algorithm. 3. Global
Optimality Motivation/Problems. 4. Conclusions
and Open questions.
3
1. The Successive MaxBet Problem (S.M.P)
s.p.s.d
Blocks Matrix
4
1. The Successive MaxBet Problem (S.M.P)
order 1
5
1. The Successive MaxBet Problem (S.M.P)
6
Order 1
7
Order s
8
Property 1 Convergence of the MaxBet Algorithm
9
Property 2 Necessary Condition of Convergence
10
3. Motivation and results
1. MaxBet Algorithm depends on the starting
vector
2. MaxBet algorithm does not guarantee the
computation of the global solution of SMP
11
3. Motivation and results an example
12
(No Transcript)
13
3. Motivation and results Two Questions
Q1. How can we know that the solution computed
by the Maxbet algorithm is global or not ?
Q2. When the solution is not global, how can we
reach using this solution the global solution ?
14
3. Motivation and Results Proceeding
15
RESULT 1
Result 1
16
ELEMENTS OF PROOF (Result 1)
17
3. Motivation and Results
18
RESULT 2
Result 2
19
ELEMENTS OF PROOF (Result 2)
1. w is block-normed vector
20
1. w is block-normed vector
w is better solution than u
21
2. w is not block-normed vector 2.1. w is not
block orthogonal to u
v is better solution than u
22
w is not block-normed vector 2.2. w is block
orthogonal to u
v is better solution than u
23
RESULT 2
Result 3
24
ELEMENTS OF PROOF (Result 3)
25
ELEMENTS OF PROOF (Result 3)
26
Result 4
27
ELEMENTS OF PROOF (Result 4)
45 -20 5 6 16
3 -20 77 -20 -25 -8 -21
5 -20 74 47 18 -32 6
-25 47 54 7 -11 16
-8 18 7 21 -7 3
-21 -32 -11 -7 70
28

ELEMENTS OF PROOF (Result 4)
Random research with 10.000.000 starting vectors
0.49 -0.87 0.80 0.59 0.56 -0.82
F(u) 378.96
u
s 0.48
29
4. General Conclusions
1. Generalized canonical correlationAnalysis
Horst (1961)
3. Soft Modeling Approach Estimation of latent
variables under mode B Wold (1984) Hanafi
(2001)
30
4. Perspective and Little Open Question
-
31
(No Transcript)
32
(No Transcript)
33
Motivation Illustration 1
MaxBet Algorithm depends on the starting vector
34
The Successive MaxBet Problem (S.M.P) and
Multivariate Methods
35
Some multivarite methods
Generalized canonical correlation methods
Rotation methods(Agreement methods)
SOFT MODELING APPRAOCH(Approch)
36
Rotation methods
37
Generalized canonical correlation methods
SVD
38
(No Transcript)
39
(No Transcript)
40
Multivariate Eigenvalue Problem Watterson and
Chu(1993)
Write a Comment
User Comments (0)
About PowerShow.com