Sciweavers

ECML   2006 European Working Session on Learning
Wall of Fame | Most Viewed ECML-2006 Paper
ECML
2006
Springer
14 years 3 months ago
Variational Bayesian Dirichlet-Multinomial Allocation for Exponential Family Mixtures
Abstract. This paper studies a Bayesian framework for density modeling with mixture of exponential family distributions. Variational Bayesian Dirichlet-Multinomial allocation (VBDM...
Shipeng Yu, Kai Yu, Volker Tresp, Hans-Peter Krieg...
Disclaimer and Copyright Notice
Sciweavers respects the rights of all copyright holders and in this regard, authors are only allowed to share a link to their preprint paper on their own website. Every contribution is associated with a desciptive image. It is the sole responsibility of the authors to ensure that their posted image is not copyright infringing. This service is compliant with IEEE copyright.
IdReadViewsTitleStatus
1Download preprint from source240
2Download preprint from source223
3Download preprint from source221
4Download preprint from source212
5Download preprint from source176
6Download preprint from source176
7Download preprint from source173
8Download preprint from source166
9Download preprint from source165
10Download preprint from source163
11Download preprint from source157
12Download preprint from source153
13Download preprint from source150
14Download preprint from source148
15Download preprint from source148
16Download preprint from source146
17Download preprint from source145
18Download preprint from source143
19Download preprint from source142
20Download preprint from source141
21Download preprint from source137
22Download preprint from source137
23Download preprint from source135
24Download preprint from source132
25Download preprint from source132
26Download preprint from source131
27Download preprint from source130
28Download preprint from source129
29Download preprint from source129
30Download preprint from source126
31Download preprint from source123
32Download preprint from source123
33Download preprint from source123
34Download preprint from source122
35Download preprint from source117
36Download preprint from source116
37Download preprint from source115
38Download preprint from source113
39Download preprint from source113
40Download preprint from source112
41Download preprint from source110
42Download preprint from source108
43Download preprint from source105
44Download preprint from source104
45Download preprint from source103
46Download preprint from source99
47Download preprint from source99
48Download preprint from source97
49Download preprint from source96
50Download preprint from source95
51Download preprint from source89
52Download preprint from source88
53Download preprint from source87
54Download preprint from source86
55Download preprint from source85
56Download preprint from source84
57Download preprint from source81
58Download preprint from source78