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ICML
2004
IEEE
14 years 8 months ago
Support vector machine learning for interdependent and structured output spaces
Learning general functional dependencies is one of the main goals in machine learning. Recent progress in kernel-based methods has focused on designing flexible and powerful input...
Ioannis Tsochantaridis, Thomas Hofmann, Thorsten J...
GECCO
2006
Springer
140views Optimization» more  GECCO 2006»
13 years 11 months ago
A representational ecology for learning classifier systems
The representation used by a learning algorithm introduces a bias which is more or less well-suited to any given learning problem. It is well known that, across all possible probl...
James A. R. Marshall, Tim Kovacs
TCAD
2002
121views more  TCAD 2002»
13 years 7 months ago
Robust Boolean reasoning for equivalence checking and functional property verification
Many tasks in CAD, such as equivalence checking, property checking, logic synthesis, and false paths analysis require efficient Boolean reasoning for problems derived from circuits...
Andreas Kuehlmann, Viresh Paruthi, Florian Krohm, ...
ADC
2006
Springer
128views Database» more  ADC 2006»
14 years 1 months ago
Horn clauses and functional dependencies in complex-value databases
We extend Fagin’s result on the equivalence between functional dependencies in relational databases and propositional Horn clauses. It is shown that this equivalence still holds...
Sven Hartmann, Sebastian Link
DOCENG
2008
ACM
13 years 9 months ago
Improving query performance on XML documents: a workload-driven design approach
As XML has emerged as a data representation format and as great quantities of data have been stored in the XML format, XML document design has become an important and evident issu...
Rebeca Schroeder, Ronaldo dos Santos Mello