Sciweavers

1578 search results - page 157 / 316
» Algorithmic randomness of continuous functions
Sort
View
UAI
2004
13 years 11 months ago
An Empirical Evaluation of Possible Variations of Lazy Propagation
As real-world Bayesian networks continue to grow larger and more complex, it is important to investigate the possibilities for improving the performance of existing algorithms of ...
Andres Madsen
IMR
2003
Springer
14 years 3 months ago
Combined Laplacian and Optimization-based Smoothing for Quadratic Mixed Surface Meshes
Quadratic elements place stringent requirements on a surface mesh smoother. One of the biggest challenges is that a good linear element may become invalid when mid-side nodes are ...
Zhijian Chen, Joseph R. Tristano, Wa Kwok
CVPR
2000
IEEE
15 years 2 days ago
Learning in Gibbsian Fields: How Accurate and How Fast Can It Be?
?Gibbsian fields or Markov random fields are widely used in Bayesian image analysis, but learning Gibbs models is computationally expensive. The computational complexity is pronoun...
Song Chun Zhu, Xiuwen Liu
ICML
2008
IEEE
14 years 11 months ago
Reinforcement learning in the presence of rare events
We consider the task of reinforcement learning in an environment in which rare significant events occur independently of the actions selected by the controlling agent. If these ev...
Jordan Frank, Shie Mannor, Doina Precup
CORR
2008
Springer
128views Education» more  CORR 2008»
13 years 10 months ago
A Fast Generic Sequence Matching Algorithm
A string matching--and more generally, sequence matching--algorithm is presented that has a linear worst-case computing time bound, a low worst-case bound on the number of compari...
David R. Musser, Gor V. Nishanov