Sciweavers

139 search results - page 27 / 28
» Shortcomings with using edge encodings to represent graph st...
Sort
View
AI
2010
Springer
13 years 7 months ago
Understanding the scalability of Bayesian network inference using clique tree growth curves
Bayesian networks (BNs) are used to represent and ef ciently compute with multi-variate probability distributions in a wide range of disciplines. One of the main approaches to per...
Ole J. Mengshoel
DAGSTUHL
2006
13 years 8 months ago
Hierarchies Relating Topology and Geometry
Cognitive Vision has to represent, reason and learn about objects in its environment it has to manipulate and react to. There are deformable objects like humans which cannot be des...
Walter G. Kropatsch, Yll Haxhimusa, Pascal Lienhar...
CPM
1993
Springer
154views Combinatorics» more  CPM 1993»
13 years 11 months ago
On Suboptimal Alignments of Biological Sequences
It is widely accepted that the optimal alignment between a pair of proteins or nucleic acid sequences that minimizes the edit distance may not necessarily re ect the correct biolog...
Dalit Naor, Douglas L. Brutlag
CLA
2007
13 years 9 months ago
An FDP-Algorithm for Drawing Lattices
In this work we want to discuss an algorithm for drawing line diagrams of lattices based on force directed placement (FDP). This widely used technique in graph drawing introduces f...
Christian Zschalig
BMCBI
2008
228views more  BMCBI 2008»
13 years 7 months ago
Adaptive diffusion kernel learning from biological networks for protein function prediction
Background: Machine-learning tools have gained considerable attention during the last few years for analyzing biological networks for protein function prediction. Kernel methods a...
Liang Sun, Shuiwang Ji, Jieping Ye