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CRV
2009
IEEE
115views Robotics» more  CRV 2009»
15 years 11 months ago
Learning Model Complexity in an Online Environment
In this paper we introduce the concept and method for adaptively tuning the model complexity in an online manner as more examples become available. Challenging classification pro...
Dan Levi, Shimon Ullman
SIGSOFT
2004
ACM
16 years 5 months ago
Merging partial behavioural models
Constructing comprehensive operational models of intended system behaviour is a complex and costly task. Consequently, practitioners have adopted techniques that support increment...
Marsha Chechik, Sebastián Uchitel
TACAS
2004
Springer
122views Algorithms» more  TACAS 2004»
15 years 10 months ago
A Scalable Incomplete Test for the Boundedness of UML RT Models
Abstract. We describe a scalable incomplete boundedness test for the communication buffers in UML RT models. UML RT is a variant of the UML modeling language, tailored to describin...
Stefan Leue, Richard Mayr, Wei Wei
IJCAI
1989
15 years 5 months ago
A Critique of the Valiant Model
This paper considers the Valiant framework as it is applied to the task of learning logical concepts from random examples. It is argued that the current interpretation of this Val...
Wray L. Buntine
JAIR
2008
171views more  JAIR 2008»
15 years 4 months ago
AND/OR Multi-Valued Decision Diagrams (AOMDDs) for Graphical Models
Inspired by AND/OR search spaces for graphical models recently introduced, we propose to augment Multi-Valued Decision Diagrams (MDD) with AND nodes, in order to capture function ...
Robert Mateescu, Rina Dechter, Radu Marinescu 0002