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102
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JMLR
2008
108views more  JMLR 2008»
15 years 15 days ago
A Recursive Method for Structural Learning of Directed Acyclic Graphs
In this paper, we propose a recursive method for structural learning of directed acyclic graphs (DAGs), in which a problem of structural learning for a large DAG is first decompos...
Xianchao Xie, Zhi Geng
82
Voted
EMMCVPR
2005
Springer
15 years 6 months ago
Learning Hierarchical Shape Models from Examples
Abstract. We present an algorithm for automatically constructing a decompositional shape model from examples. Unlike current approaches to structural model acquisition, in which on...
Alex Levinshtein, Cristian Sminchisescu, Sven J. D...
143
Voted
CP
2006
Springer
15 years 4 months ago
Decomposition of Multi-operator Queries on Semiring-Based Graphical Models
Abstract. In the last decades, the Satisfiability and Constraint Satisfaction Problem frameworks were extended to integrate aspects such as uncertainties, partial observabilities, ...
Cédric Pralet, Thomas Schiex, Gérard...
106
Voted
SODA
2008
ACM
101views Algorithms» more  SODA 2008»
15 years 2 months ago
Adaptive local ratio
Local ratio is a well-known paradigm for designing approximation algorithms for combinatorial optimization problems. At a very high level, a local-ratio algorithm first decomposes ...
Julián Mestre
AMAST
2004
Springer
15 years 6 months ago
A Science of Software Design
concerns, abstraction (particularly hierarchical abstraction), simplicity, and restricted visibility (locality of information). The overall goal behind these principles was stated ...
Don S. Batory