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» Learning Concepts by Modeling Relationships
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ML
2011
ACM
179views Machine Learning» more  ML 2011»
14 years 11 months ago
Neural networks for relational learning: an experimental comparison
In the last decade, connectionist models have been proposed that can process structured information directly. These methods, which are based on the use of graphs for the representa...
Werner Uwents, Gabriele Monfardini, Hendrik Blocke...
ITICSE
2009
ACM
15 years 10 months ago
Relating research and teaching: learning from experiences and beliefs
The relationship between research and teaching has possible benefits and inherent tensions. Exploring the potentially beneficial relationship is of interest and possible value to ...
Su White, Alastair Irons
ER
2008
Springer
128views Database» more  ER 2008»
15 years 5 months ago
Temporal Constraints in Non-temporal Data Modelling Languages
It is common to find that the definition or common usage of a data modelling language causes there to be restrictions placed on the evolution of data values that are associated wit...
Peter McBrien
CIE
2007
Springer
15 years 10 months ago
Input-Dependence in Function-Learning
In the standard model of inductive inference, a learner gets as input the graph of a function, and has to discover (in the limit) a program for the function. In this paper, we cons...
Sanjay Jain, Eric Martin, Frank Stephan
SIGIR
1996
ACM
15 years 8 months ago
A Deductive Data Model for Query Expansion
We present a deductive data model for concept-based query expansion. It is based abstraction levels: the conceptual, the expression and the occurrence level. Concepts and their re...
Kalervo Järvelin, Jaana Kristensen, Timo Niem...