1864 search results - page 3 / 373 » Modeling Classification and Inference Learning |
81
Voted
COLT
2004
Springer
15 years 2 months ago
2004
Springer
We show that forms of Bayesian and MDL inference that are often applied to classification problems can be inconsistent. This means that there exists a learning problem such that fo...
95
Voted
UAI
2008
14 years 11 months ago
2008
Confidence measures for the generalization error are crucial when small training samples are used to construct classifiers. A common approach is to estimate the generalization err...
85
Voted
ICML
2004
IEEE
15 years 11 months ago
2004
IEEE
In kernel methods, an interesting recent development seeks to learn a good kernel from empirical data automatically. In this paper, by regarding the transductive learning of the k...
91
Voted
ICRA
2009
IEEE
14 years 8 months ago
2009
IEEE
Contextual reasoning through graphical models such as Markov Random Fields often show superior performance against local classifiers in many domains. Unfortunately, this performanc...
87
Voted
ICCV
1999
IEEE
16 years 5 days ago
1999
IEEE
The human figure exhibits complex and rich dynamic behavior that is both nonlinear and time-varying. However, most work on tracking and synthesizing figure motion has employed eit...