113 search results - page 2 / 23 » Structural Machine Learning with Galois Lattice and Graphs |
CP
2010
Springer
13 years 3 months ago
2010
Springer
Abstract. We study the lattice structure of sets (monoids) of surjective hyper-operations on an n-element domain. Through a Galois connection, these monoids form the algebraic coun...
LATA
2010
Springer
14 years 7 days ago
2010
Springer
Abstract. Learnability is a vital property of formal grammars: representation classes should be defined in such a way that they are learnable. One way to build learnable represent...
ICCS
2005
Springer
13 years 11 months ago
2005
Springer
A machine learning technique for handling scenarios of interaction between conflicting agents is suggested. Scenarios are represented by directed graphs with labeled vertices (for ...
ICCS
2007
Springer
13 years 11 months ago
2007
Springer
Abstract. Previous work of the authors has studied a notion of implication between sets of sequences based on the conceptual structure of a Galois lattice, and also a way of repres...
CVPR
2011
IEEE
13 years 1 months ago
2011
IEEE
Nearly every structured prediction problem in computer vision requires approximate inference due to large and complex dependencies among output labels. While graphical models prov...