6704 search results - page 662 / 1341 » Testing Scenario-Based Models |
204
Voted
ICIP
2004
IEEE
16 years 9 months ago
2004
IEEE
In this paper, we present a robust method for estimating the model parameters in a mixture of probabilistic principal component analyzers. This method is based on the Stochastic v...
282
Voted
GIS
2007
ACM
2007
ACM
Exploiting automatically inferred constraint-models for building identification in satellite imagery
16 years 8 months ago
The building identification (BID) problem is based on a process that uses publicly available information to automatically assign addresses to buildings in satellite imagery. In pr...
239
Voted
ICML
2008
IEEE
16 years 8 months ago
2008
IEEE
Deep Belief Networks (DBN's) are generative models that contain many layers of hidden variables. Efficient greedy algorithms for learning and approximate inference have allow...
183
Voted
ALT
2006
Springer
16 years 4 months ago
2006
Springer
A model for learning in the limit is defined where a (so-called iterative) learner gets all positive examples from the target language, tests every new conjecture with a teacher ...
196
Voted
PADS
2009
ACM
16 years 2 months ago
2009
ACM
Unexpected model behaviors need explanation, so valid behaviors can be separated from errors. Understanding unexpected behavior requires accumulation of insight into the behavior ...