1864 search results - page 44 / 373 » Modeling Classification and Inference Learning |
ICML
2005
IEEE
16 years 1 months ago
2005
IEEE
The integration of diverse forms of informative data by learning an optimal combination of base kernels in classification or regression problems can provide enhanced performance w...
119
Voted
KDD
2007
ACM
16 years 28 days ago
2007
ACM
In analyzing data from social and communication networks, we encounter the problem of classifying objects where there is an explicit link structure amongst the objects. We study t...
98
Voted
FTML
2008
15 years 17 days ago
2008
The formalism of probabilistic graphical models provides a unifying framework for capturing complex dependencies among random variables, and building large-scale multivariate stat...
110
Voted
ACCV
2006
Springer
15 years 6 months ago
2006
Springer
We view the task of change detection as a problem of object recognition from learning. The object is defined in a 3D space where the time is the 3rd dimension. We propose two com...
111
Voted
ICML
2010
IEEE
15 years 1 months ago
2010
IEEE
Pseudo-likelihood and contrastive divergence are two well-known examples of contrastive methods. These algorithms trade off the probability of the correct label with the probabili...