33 search results - page 6 / 7 » Algorithms for Propositional KB Approximation |
IJSI
2010
13 years 7 months ago
2010
Measuring inconsistency degrees of inconsistent knowledge bases is an important problem as it provides context information for facilitating inconsistency handling. Many methods hav...
UAI
2008
13 years 10 months ago
2008
Approximate inference in dynamic systems is the problem of estimating the state of the system given a sequence of actions and partial observations. High precision estimation is fu...
AIPS
2008
13 years 11 months ago
2008
Dynamic programming algorithms have been successfully applied to propositional stochastic planning problems by using compact representations, in particular algebraic decision diag...
JAIR
2010
13 years 7 months ago
2010
Domain-specific features are important in representing problem structure throughout machine learning and decision-theoretic planning. In planning, once state features are provide...
ECCV
2008
Springer
14 years 11 months ago
2008
Springer
We aim to color greyscale images automatically, without any manual intervention. The color proposition could then be interactively corrected by user-provided color landmarks if nec...