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ICML
2009
IEEE
14 years 9 months ago
Learning Markov logic network structure via hypergraph lifting
Markov logic networks (MLNs) combine logic and probability by attaching weights to first-order clauses, and viewing these as templates for features of Markov networks. Learning ML...
Stanley Kok, Pedro Domingos
CVDB
2004
ACM
14 years 1 months ago
Event-Based Modeling and Processing of Digital Media
Capture, processing, and assimilation of digital media-based information such as video, images, or audio requires a unified framework within which signal processing techniques and...
Rahul Singh, Zhao Li, Pilho Kim, Derik Pack, Rames...
BMCBI
2006
166views more  BMCBI 2006»
13 years 8 months ago
SEQOPTICS: a protein sequence clustering system
Background: Protein sequence clustering has been widely used as a part of the analysis of protein structure and function. In most cases single linkage or graph-based clustering al...
Yonghui Chen, Kevin D. Reilly, Alan P. Sprague, Zh...
CLUSTER
2005
IEEE
14 years 2 months ago
Fast Query Processing by Distributing an Index over CPU Caches
Data intensive applications on clusters often require requests quickly be sent to the node managing the desired data. In many applications, one must look through a sorted tree str...
Xiaoqin Ma, Gene Cooperman
VLDB
1987
ACM
92views Database» more  VLDB 1987»
13 years 12 months ago
Mind Your Grammar: a New Approach to Modelling Text
Beginning to create the New Oxford English Dictionary database has resulted in the realization that databases for reference texts are unlike those for conventional enterprises. Wh...
Gaston H. Gonnet, Frank Wm. Tompa