Sciweavers

6943 search results - page 586 / 1389
» Representations for evolutionary algorithms
Sort
View
IJAR
2006
89views more  IJAR 2006»
15 years 7 months ago
Learning probabilistic decision graphs
Probabilistic decision graphs (PDGs) are a representation language for probability distributions based on binary decision diagrams. PDGs can encode (context-specific) independence...
Manfred Jaeger, Jens D. Nielsen, Tomi Silander
CP
2010
Springer
15 years 5 months ago
Exponential Propagation for Set Variables
Research on constraint propagation has primarily focused on designing polynomial-time propagators sometimes at the cost of a weaker filtering. Interestingly, the evolution of cons...
Justin Yip, Pascal Van Hentenryck
PR
2010
160views more  PR 2010»
15 years 5 months ago
Homeomorphic alignment of weighted trees
Motion capture, a currently active research area, needs estimation of the pose of the subject. For this purpose, we match the tree representation of the skeleton of the 3D shape t...
Benjamin Raynal, Michel Couprie, Venceslas Biri
ACL
2009
15 years 5 months ago
Learning Context-Dependent Mappings from Sentences to Logical Form
We consider the problem of learning context-dependent mappings from sentences to logical form. The training examples are sequences of sentences annotated with lambda-calculus mean...
Luke S. Zettlemoyer, Michael Collins
UAI
2008
15 years 8 months ago
Learning Inclusion-Optimal Chordal Graphs
Chordal graphs can be used to encode dependency models that are representable by both directed acyclic and undirected graphs. This paper discusses a very simple and efficient algo...
Vincent Auvray, Louis Wehenkel