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UAI
2008
15 years 1 months ago
Sampling First Order Logical Particles
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...
Hannaneh Hajishirzi, Eyal Amir
ICML
2005
IEEE
16 years 12 days ago
Combining model-based and instance-based learning for first order regression
T ORDER REGRESSION (EXTENDED ABSTRACT) Kurt Driessensa Saso Dzeroskib a Department of Computer Science, University of Waikato, Hamilton, New Zealand (kurtd@waikato.ac.nz) b Departm...
Kurt Driessens, Saso Dzeroski
97
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AIPS
2008
15 years 1 months ago
Stochastic Planning with First Order Decision Diagrams
Dynamic programming algorithms have been successfully applied to propositional stochastic planning problems by using compact representations, in particular algebraic decision diag...
Saket Joshi, Roni Khardon
EMMCVPR
2005
Springer
15 years 5 months ago
Stereo for Slanted Surfaces: First Order Disparities and Normal Consistency
Traditional stereo algorithms either explicitly use the frontal parallel plane assumption by only considering position (zero-order) disparity when computing similarity measures of ...
Gang Li, Steven W. Zucker
ISAAC
2010
Springer
240views Algorithms» more  ISAAC 2010»
14 years 9 months ago
Interpretation of Stream Programs: Characterizing Type 2 Polynomial Time Complexity
We study polynomial time complexity of type 2 functionals. For that purpose, we introduce a first order functional stream language. We give criteria, named well-founded, on such pr...
Hugo Férée, Emmanuel Hainry, Mathieu...