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KDD
2010
ACM
274views Data Mining» more  KDD 2010»
13 years 11 months ago
Grafting-light: fast, incremental feature selection and structure learning of Markov random fields
Feature selection is an important task in order to achieve better generalizability in high dimensional learning, and structure learning of Markov random fields (MRFs) can automat...
Jun Zhu, Ni Lao, Eric P. Xing
CASES
2010
ACM
13 years 5 months ago
Instruction selection by graph transformation
Common generated instruction selections are based on tree pattern matching, but modern and custom architectures feature instructions, which cannot be covered by trees. To overcome...
Sebastian Buchwald, Andreas Zwinkau
SIGMOD
2010
ACM
186views Database» more  SIGMOD 2010»
14 years 9 days ago
Fast approximate correlation for massive time-series data
We consider the problem of computing all-pair correlations in a warehouse containing a large number (e.g., tens of thousands) of time-series (or, signals). The problem arises in a...
Abdullah Mueen, Suman Nath, Jie Liu
GG
2008
Springer
13 years 8 months ago
Transformation-Based Operationalization of Graph Languages
Graph Languages1 emerged during the seventies from the necessity to process data structures with complex interrelations. Nowadays, various variants of these languages can be found...
Erhard Weinell
ENTCS
2007
93views more  ENTCS 2007»
13 years 7 months ago
Modeling Pointer Redirection as Cyclic Term-graph Rewriting
We tackle the problem of data-structure rewriting including global and local pointer redirections. Each basic rewrite step may perform three kinds of actions: (i) Local redirectio...
Dominique Duval, Rachid Echahed, Fréd&eacut...