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» Structure learning of Bayesian networks using constraints
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IJCNN
2006
IEEE
15 years 6 months ago
A Structured Context Model for Grammar Learning
—We present a structured model of context that supports an integrated approach to language acquisition and use. The model extends an existing formal notation, Embodied Constructi...
Nancy Chang, Eva Mok
ICML
2000
IEEE
16 years 21 days ago
Hierarchical Unsupervised Learning
We consider the problem of unsupervised classification of temporal sequences of facial expressions in video. This problem arises in the design of an adaptive visual agent, which m...
Shivakumar Vaithyanathan, Byron Dom
COLING
2010
14 years 6 months ago
Comparison of different algebras for inducing the temporal structure of texts
This paper investigates the impact of using different temporal algebras for learning temporal relations between events. Specifically, we compare three intervalbased algebras: Alle...
Pascal Denis, Philippe Muller
AAAI
2004
15 years 1 months ago
Analogical Path Planning
We present a probabilistic method for path planning that considers trajectories constrained by both the environment and an ensemble of restrictions or preferences on preferred mot...
Saul Simhon, Gregory Dudek
CIMCA
2005
IEEE
15 years 5 months ago
OntoBayes: An Ontology-Driven Uncertainty Model
— This paper describes an ontology-driven model, which integrates Bayesian Networks (BN) into the Ontology Web Language (OWL) to preserve the advantages of both. This model makes...
Yi Yang, Jacques Calmet