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» A Graph Based Data Model for Graphics Interpretation
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133
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EMNLP
2010
15 years 18 days ago
Efficient Graph-Based Semi-Supervised Learning of Structured Tagging Models
We describe a new scalable algorithm for semi-supervised training of conditional random fields (CRF) and its application to partof-speech (POS) tagging. The algorithm uses a simil...
Amarnag Subramanya, Slav Petrov, Fernando Pereira
125
Voted
CORR
2008
Springer
99views Education» more  CORR 2008»
15 years 2 months ago
A Model-Based Frequency Constraint for Mining Associations from Transaction Data
Mining frequent itemsets is a popular method for finding associated items in databases. For this method, support, the co-occurrence frequency of the items which form an associatio...
Michael Hahsler
TITB
2008
178views more  TITB 2008»
15 years 2 months ago
Automated Diagnosis of Coronary Artery Disease Based on Data Mining and Fuzzy Modeling
A fuzzy rule-based decision support system (DSS) is presented for the diagnosis of coronary artery disease (CAD). The system is automatically generated from an initial annotated da...
Markos G. Tsipouras, Themis P. Exarchos, Dimitrios...
129
Voted
APVIS
2001
15 years 4 months ago
Information Visualization of Attributed Relational Data
Traditional graph drawing is only concerned with viewing of data and relations amount data items. It uses a graph model to present the data items and the relations and tries to ca...
Mao Lin Huang
95
Voted
BIRTHDAY
2005
Springer
15 years 8 months ago
Expander2
Expander2 is a flexible multi-purpose workbench for interactive rewriting, verification, constraint solving, flow graph analysis and other procedures that build up proofs or co...
Peter Padawitz