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» Structured Learning with Approximate Inference
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BIB
2010
89views more  BIB 2010»
15 years 13 days ago
Knowledge-based data analysis comes of age
The emergence of high-throughput technologies for measuring biological systems has introduced problems for data interpretation that must be addressed for proper inference. First, ...
Michael F. Ochs
ECAI
2010
Springer
14 years 11 months ago
Continuous Conditional Random Fields for Regression in Remote Sensing
Conditional random fields (CRF) are widely used for predicting output variables that have some internal structure. Most of the CRF research has been done on structured classificati...
Vladan Radosavljevic, Slobodan Vucetic, Zoran Obra...
CORR
2010
Springer
116views Education» more  CORR 2010»
14 years 8 months ago
Mixed-Membership Stochastic Block-Models for Transactional Networks
Abstract: Transactional network data can be thought of as a list of oneto-many communications (e.g., email) between nodes in a social network. Most social network models convert th...
Mahdi Shafiei, Hugh Chipman
EJC
2010
14 years 8 months ago
Inferencing in Database Semantics
As a computational model of natural language communication, Database Semantics1 (DBS) includes a hearer mode and a speaker mode. For the content to be mapped into language expressi...
Roland Hausser
BIRD
2008
Springer
162views Bioinformatics» more  BIRD 2008»
15 years 3 months ago
Suffix Tree Characterization of Maximal Motifs in Biological Sequences
Finding motifs in biological sequences is one of the most intriguing problems for string algorithms designers due to, on the one hand, the numerous applications of this problem in...
Maria Federico, Nadia Pisanti