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» On Ultrametric Algorithmic Information
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UAI
1993
15 years 7 months ago
Using Causal Information and Local Measures to Learn Bayesian Networks
In previous work we developed a method of learning Bayesian Network models from raw data. This method relies on the well known minimal description length (MDL) principle. The MDL ...
Wai Lam, Fahiem Bacchus
CANDC
2005
ACM
15 years 6 months ago
MSAID: multiple sequence alignment based on a measure of information discrepancy
We propose an algorithm of global multiple sequence alignment that is based on a measure of what we call information discrepancy. The algorithm follows a progressive alignment ite...
Min Zhang, Weiwu Fang, Junhua Zhang, Zhongxian Chi
MVA
2002
132views Computer Vision» more  MVA 2002»
15 years 5 months ago
Constituting Feasible Folding Operation Using Incomplete Crease Information
This paper proposes a novel approach to constituting all the feasible ways of folding, based on crease infomation obtained from an image of illustrations of general origami drill ...
Hiroshi Shimanuki, Jien Kato, Toyohide Watanabe
FS
2010
95views more  FS 2010»
15 years 4 months ago
Pricing credit derivatives under incomplete information: a nonlinear-filtering approach
This paper considers a general reduced form pricing model for credit derivatives where default intensities are driven by some factor process X. The process X is not directly observ...
Rüdiger Frey, Wolfgang Runggaldier
DAS
2010
Springer
15 years 4 months ago
Information extraction by finding repeated structure
Repetition of layout structure is prevalent in document images. In document design, such repetition conveys the underlying logical and functional structure of the data. For exampl...
Evgeniy Bart, Prateek Sarkar