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CORR
2006
Springer
132views Education» more  CORR 2006»
13 years 5 months ago
A Decomposition Theory for Binary Linear Codes
The decomposition theory of matroids initiated by Paul Seymour in the 1980's has had an enormous impact on research in matroid theory. This theory, when applied to matrices ov...
Navin Kashyap
ANNPR
2006
Springer
13 years 9 months ago
Hierarchical Neural Networks Utilising Dempster-Shafer Evidence Theory
Abstract. Hierarchical neural networks show many benefits when employed for classification problems even when only simple methods analogous to decision trees are used to retrieve t...
Rebecca Fay, Friedhelm Schwenker, Christian Thiel,...
ICCAD
1997
IEEE
117views Hardware» more  ICCAD 1997»
13 years 9 months ago
Decomposition of timed decision tables and its use in presynthesis optimizations
Presynthesis optimizations transform a behavioral HDL description into an optimized HDL description that results in improved synthesis results. In this paper we introduce the decom...
Jian Li, Rajesh K. Gupta
INFORMATICASI
1998
122views more  INFORMATICASI 1998»
13 years 5 months ago
Experimental Evaluation of Three Partition Selection Criteria for Decision Table Decomposition
Decision table decomposition is a machine learning approach that decomposes a given decision table into an equivalent hierarchy of decision tables. The approach aims to discover d...
Blaz Zupan, Marko Bohanec
ISSAC
2009
Springer
171views Mathematics» more  ISSAC 2009»
13 years 12 months ago
Computing cylindrical algebraic decomposition via triangular decomposition
Cylindrical algebraic decomposition is one of the most important tools for computing with semi-algebraic sets, while triangular decomposition is among the most important approache...
Changbo Chen, Marc Moreno Maza, Bican Xia, Lu Yang