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IICAI
2003
15 years 5 months ago
Performance Analysis of an Acyclic Genetic approach to Learn Bayesian Network Structure
Abstract. We introduce a new genetic algorithm approach for learning a Bayesian network structure from data. Our method is capable of learning over all node orderings and structure...
Pankaj B. Gupta, Vicki H. Allan
BMVC
1997
15 years 5 months ago
Robust Recursive Structure and Motion Recovery under Affine Projection
In this paper we present an algorithm for structure and motion (SM) recovery under affine projection from video sequences. The algorithm tracks the motion of a single structure, b...
Miroslav Trajkovic, Mark Hedley
AAAI
1994
15 years 5 months ago
Tractable Planning with State Variables by Exploiting Structural Restrictions
So far, tractable planning problems reported in the literature have been defined by syntactical restrictions. To better exploit the inherent structure in problems, however, it is ...
Peter Jonsson, Christer Bäckström
NIPS
1994
15 years 5 months ago
Finding Structure in Reinforcement Learning
Reinforcement learning addresses the problem of learning to select actions in order to maximize one's performance inunknownenvironments. Toscale reinforcement learning to com...
Sebastian Thrun, Anton Schwartz
COLING
1992
15 years 5 months ago
On Representing the Temporal Structure of a Natural Language Text
A proposal to deal with tenses in the framework of Discourse Representation Theory is presented, ms it has been implemented for a fragment at the IMS for the project LILOG. It is ...
Kurt Eberle