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» Structured Sparsity in Structured Prediction
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ICML
2005
IEEE
16 years 7 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
ICML
2004
IEEE
16 years 7 months ago
Kernel conditional random fields: representation and clique selection
Kernel conditional random fields (KCRFs) are introduced as a framework for discriminative modeling of graph-structured data. A representer theorem for conditional graphical models...
John D. Lafferty, Xiaojin Zhu, Yan Liu
ICASSP
2008
IEEE
16 years 19 days ago
Exploiting temporal change of pitch in formant estimation
This paper considers the problem of obtaining an accurate spectral representation of speech formant structure when the voicing source exhibits a high fundamental frequency. Our wo...
Tao T. Wang, Thomas F. Quatieri
IJCNN
2007
IEEE
16 years 14 days ago
Incorporating Forgetting in a Category Learning Model
— We present a computational model of human category learning that learns the essential structures of the categories by forgetting information that is not useful for the given ta...
Yasuaki Sakamoto, Toshihiko Matsuka
ADC
2007
Springer
125views Database» more  ADC 2007»
16 years 11 days ago
Building a Disordered Protein Database: A Case Study in Managing Biological Data
A huge diversity of biological databases is available via the Internet, but many of these databases have been developed in an ad hoc manner rather than in accordance with any data...
Arran D. Stewart, Xiuzhen Zhang