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IFIP12
2008
15 years 3 months ago
Bayesian Networks Optimization Based on Induction Learning Techniques
Obtaining a bayesian network from data is a learning process that is divided in two steps: structural learning and parametric learning. In this paper, we define an automatic learni...
Paola Britos, Pablo Felgaer, Ramón Garc&iac...
SIMVIS
2008
15 years 3 months ago
The State of the Art in Flow Visualization: Partition-Based Techniques
Flow visualization has been a very active subfield of scientific visualization in recent years. From the resulting large variety of methods this paper discusses partition-based te...
Tobias Salzbrunn, Heike Jänicke, Thomas Wisch...
BMCBI
2008
95views more  BMCBI 2008»
15 years 2 months ago
Protein structural class prediction based on an improved statistical strategy
Background: A protein structural class (PSC) belongs to the most basic but important classification in protein structures. The prediction technique of protein structural class has...
Fei Gu, Hang Chen, Jun Ni
EJC
2008
15 years 2 months ago
Partitions and Clifford algebras
Given the set [n] = {1, . . . , n} for positive integer n, combinatorial properties of Clifford algebras are exploited to count partitions and nonoverlapping partitions of [n]. Th...
René Schott, G. Stacey Staples
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BSL
2006
81views more  BSL 2006»
15 years 2 months ago
Classifying the Provably Total Functions of PA
We give a self-contained and streamlined version of the classification of the provably computable functions of PA. The emphasis is put on illuminating as good as seems possible th...
Andreas Weiermann