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ILP
2005
Springer
14 years 2 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
IJCAI
2001
13 years 10 months ago
Probabilistic Classification and Clustering in Relational Data
Supervised and unsupervised learning methods have traditionally focused on data consisting of independent instances of a single type. However, many real-world domains are best des...
Benjamin Taskar, Eran Segal, Daphne Koller
VLDB
2003
ACM
156views Database» more  VLDB 2003»
14 years 9 months ago
Watermarking relational data: framework, algorithms and analysis
We enunciate the need for watermarking database relations to deter data piracy, identify the characteristics of relational data that pose unique challenges for watermarking, and de...
Rakesh Agrawal, Peter J. Haas, Jerry Kiernan
ICDM
2003
IEEE
99views Data Mining» more  ICDM 2003»
14 years 2 months ago
Simple Estimators for Relational Bayesian Classifiers
In this paper we present the Relational Bayesian Classifier (RBC), a modification of the Simple Bayesian Classifier (SBC) for relational data. There exist several Bayesian classif...
Jennifer Neville, David Jensen, Brian Gallagher
HASKELL
2006
ACM
14 years 3 months ago
Strong types for relational databases
Haskell’s type system with multi-parameter constructor classes and functional dependencies allows static (compile-time) computations to be expressed by logic programming on the ...
Alexandra Silva, Joost Visser