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ILP
2005
Springer
15 years 3 months ago
Classifying Relational Data with Neural Networks
We introduce a novel method for relational learning with neural networks. The contributions of this paper are threefold. First, we introduce the concept of relational neural networ...
Werner Uwents, Hendrik Blockeel
GECCO
2009
Springer
159views Optimization» more  GECCO 2009»
15 years 2 months ago
Bayesian network structure learning using cooperative coevolution
We propose a cooperative-coevolution – Parisian trend – algorithm, IMPEA (Independence Model based Parisian EA), to the problem of Bayesian networks structure estimation. It i...
Olivier Barrière, Evelyne Lutton, Pierre-He...
ICCS
1994
Springer
15 years 1 months ago
UDS: A Universal Data Structure
This paper gives a data structure (UDS) for supporting database retrieval, inference and machine learning that attempts to unify and extend previous work in relational databases, ...
Robert Levinson
CIKM
2008
Springer
14 years 11 months ago
Learning latent semantic relations from clickthrough data for query suggestion
For a given query raised by a specific user, the Query Suggestion technique aims to recommend relevant queries which potentially suit the information needs of that user. Due to th...
Hao Ma, Haixuan Yang, Irwin King, Michael R. Lyu
PEPM
2011
ACM
14 years 19 days ago
Calculating tree navigation with symmetric relational zipper
Navigating through tree structures is a core operation in tree processing programs. Most notably, XML processing programs intensively use XPath, the path specification language t...
Yuta Ikeda, Susumu Nishimura