786 search results - page 72 / 158 » Network Inference from Co-Occurrences |
135
Voted
JMLR
2006
15 years 3 months ago
2006
We study the computational and sample complexity of parameter and structure learning in graphical models. Our main result shows that the class of factor graphs with bounded degree...
120
Voted
ACMSE
2006
ACM
15 years 9 months ago
2006
ACM
Reconstructing networks from time series data is a difficult inverse problem. We apply two methods to this problem using co-temporal functions. Co-temporal functions capture mathe...
124
Voted
NIPS
1996
15 years 4 months ago
1996
Real-valued random hidden variables can be useful for modelling latent structure that explains correlations among observed variables. I propose a simple unit that adds zero-mean G...
130
Voted
INFOCOM
2008
IEEE
15 years 10 months ago
2008
IEEE
Abstract—Multicast-based network tomography enables inference of average loss rates and delay distributions of internal network links from end-to-end measurements of multicast pr...
143
Voted
HUC
2010
Springer
15 years 3 months ago
2010
Springer
This work presents the design and evaluation of an activity recognition system for seven important motion related activities. The only sensor used is an Inertial Measurement Unit ...