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CIKM
2008
Springer
15 years 8 months ago
Combining concept hierarchies and statistical topic models
Statistical topic models provide a general data-driven framework for automated discovery of high-level knowledge from large collections of text documents. While topic models can p...
Chaitanya Chemudugunta, Padhraic Smyth, Mark Steyv...
NAACL
2003
15 years 8 months ago
Supervised and unsupervised PCFG adaptation to novel domains
This paper investigates adapting a lexicalized probabilistic context-free grammar (PCFG) to a novel domain, using maximum a posteriori (MAP) estimation. The MAP framework is gener...
Brian Roark, Michiel Bacchiani
APCCM
2009
15 years 7 months ago
Multi-Level Domain Modeling with M-Objects and M-Relationships
Using traditional semantic data modeling, multi-level modeling can be achieved by representing objects in different abstraction hierarchies, namely classification, aggregation and...
Bernd Neumayr, Katharina Grün, Michael Schref...
CAGD
2006
120views more  CAGD 2006»
15 years 6 months ago
Quality meshing of implicit solvation models of biomolecular structures
This paper describes a comprehensive approach to construct quality meshes for implicit solvation models of biomolecular structures starting from atomic resolution data in the Prot...
Yongjie Zhang, Guoliang Xu, Chandrajit L. Bajaj
IJDMMM
2008
124views more  IJDMMM 2008»
15 years 6 months ago
Completing missing views for multiple sources of web media
: Combining multiple data sources, each with its own features, to achieve optimal inference has received a lot of attention in recent years. In inference from multiple data sources...
Shankara B. Subramanya, Zheshen Wang, Baoxin Li, H...