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» Predicting labels for dyadic data
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ICML
2005
IEEE
14 years 10 months ago
Efficient discriminative learning of Bayesian network classifier via boosted augmented naive Bayes
The use of Bayesian networks for classification problems has received significant recent attention. Although computationally efficient, the standard maximum likelihood learning me...
Yushi Jing, Vladimir Pavlovic, James M. Rehg
IJCNN
2008
IEEE
14 years 4 months ago
Adaptive curiosity for emotions detection in speech
— Exploratory activities seem to be crucial for our cognitive development. According to psychologists, exploration is an intrinsically rewarding behaviour. The developmental robo...
Alexis Bondu, Vincent Lemaire
APIN
2000
116views more  APIN 2000»
13 years 9 months ago
Application of Cascade Correlation Networks for Structures to Chemistry
Abstract. We present the application of Cascade Correlation for structures to QSPR (quantitative structureproperty relationships) and QSAR (quantitative structure-activity relation...
Anna Maria Bianucci, Alessio Micheli, Alessandro S...
INTERSPEECH
2010
13 years 4 months ago
Semi-supervised part-of-speech tagging in speech applications
When no training or adaptation data is available, semisupervised training is a good alternative for processing new domains. We perform Bayesian training of a part-of-speech (POS) ...
Richard Dufour, Benoît Favre
JMLR
2010
121views more  JMLR 2010»
13 years 4 months ago
Sparse Semi-supervised Learning Using Conjugate Functions
In this paper, we propose a general framework for sparse semi-supervised learning, which concerns using a small portion of unlabeled data and a few labeled data to represent targe...
Shiliang Sun, John Shawe-Taylor