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INTERSPEECH
2010
14 years 11 months ago
Active word learning under uncertain input conditions
In this paper we investigate a computational model of word learning that is cognitively plausible. The model is partly trained on incorrect form-referent pairings, modelling the i...
Maarten Versteegh, Louis ten Bosch, Lou Boves
ICASSP
2011
IEEE
14 years 8 months ago
Nonparametric Bayesian feature selection for multi-task learning
We present a nonparametric Bayesian model for multi-task learning, with a focus on feature selection in binary classification. The model jointly identifies groups of similar tas...
Hui Li, Xuejun Liao, Lawrence Carin
SETN
2004
Springer
15 years 10 months ago
Taxonomy-Based Annotation of XML Documents: Application to eLearning Resources
In this paper we propose an automatic mechanism for annotating XML documents. This mechanism relies on a simple data model whose main features are: (1) a modeling of XML documents ...
Birahim Gueye, Philippe Rigaux, Nicolas Spyratos
128
Voted
NIPS
2004
15 years 6 months ago
Semi-supervised Learning via Gaussian Processes
We present a probabilistic approach to learning a Gaussian Process classifier in the presence of unlabeled data. Our approach involves a "null category noise model" (NCN...
Neil D. Lawrence, Michael I. Jordan
EUSFLAT
2001
15 years 6 months ago
Learning maximal structure fuzzy rules with exceptions
This paper proposes a method to solve the con icts that arise in the framework of fuzzy model identi
Pablo Carmona, Juan Luis Castro, Jose Manuel Zurit...