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» Hierarchical Mixture Models for Nested Data Structures
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ACL
2008
14 years 9 days ago
Exploiting Feature Hierarchy for Transfer Learning in Named Entity Recognition
We present a novel hierarchical prior structure for supervised transfer learning in named entity recognition, motivated by the common structure of feature spaces for this task acr...
Andrew Arnold, Ramesh Nallapati, William W. Cohen
IPMI
2005
Springer
14 years 11 months ago
Bayesian Population Modeling of Effective Connectivity
Abstract. A hierarchical model based on the Multivariate Autoregessive (MAR) process is proposed to jointly model neurological time-series collected from multiple subjects, and to ...
Eric R. Cosman Jr., William M. Wells III
CACM
1998
110views more  CACM 1998»
13 years 10 months ago
Viewing WISs as Database Applications
abstraction for modeling these problems is to view the Web as a collection of (usually small and heterogeneous) databases, and to view programs that extract and process Web data au...
Gustavo O. Arocena, Alberto O. Mendelzon
IJCV
2008
172views more  IJCV 2008»
13 years 10 months ago
Nonparametric Bayesian Image Segmentation
Image segmentation algorithms partition the set of pixels of an image into a specific number of different, spatially homogeneous groups. We propose a nonparametric Bayesian model f...
Peter Orbanz, Joachim M. Buhmann
ICDE
2007
IEEE
193views Database» more  ICDE 2007»
15 years 6 days ago
Categorization and Optimization of Synchronization Dependencies in Business Processes
requirement. Furthermore, programming using sequence constructs normally produce nested structures and The current approachfor modeling synchronization in scattered code, especiall...
Qinyi Wu, Calton Pu, Akhil Sahai, Roger S. Barga