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» Algorithmic Randomness of Closed Sets
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EDBT
2009
ACM
138views Database» more  EDBT 2009»
15 years 10 months ago
FOGGER: an algorithm for graph generator discovery
To our best knowledge, all existing graph pattern mining algorithms can only mine either closed, maximal or the complete set of frequent subgraphs instead of graph generators whic...
Zhiping Zeng, Jianyong Wang, Jun Zhang, Lizhu Zhou
CIE
2010
Springer
15 years 7 months ago
How Powerful Are Integer-Valued Martingales?
In the theory of algorithmic randomness, one of the central notions is that of computable randomness. An infinite binary sequence X is computably random if no recursive martingale...
Laurent Bienvenu, Frank Stephan, Jason Teutsch
111
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BMCBI
2008
101views more  BMCBI 2008»
15 years 3 months ago
Prediction of glycosylation sites using random forests
Background: Post translational modifications (PTMs) occur in the vast majority of proteins and are essential for function. Prediction of the sequence location of PTMs enhances the...
Stephen E. Hamby, Jonathan D. Hirst
153
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JCB
2006
215views more  JCB 2006»
15 years 3 months ago
Protein Fold Recognition Using Segmentation Conditional Random Fields (SCRFs)
Protein fold recognition is an important step towards understanding protein three-dimensional structures and their functions. A conditional graphical model, i.e., segmentation con...
Yan Liu 0002, Jaime G. Carbonell, Peter Weigele, V...
127
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ALT
2008
Springer
16 years 16 days ago
On-Line Probability, Complexity and Randomness
Abstract. Classical probability theory considers probability distributions that assign probabilities to all events (at least in the finite case). However, there are natural situat...
Alexey V. Chernov, Alexander Shen, Nikolai K. Vere...