ML
2011
ACM
13 years 43 min ago
2011
ACM
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...
IJCAI
2001
13 years 6 months ago
2001
This paper develops a new paradigm for relational learning which allows for the representation and learning of relational information using propositional means. This paradigm sugg...
ATAL
2008
Springer
13 years 7 months ago
2008
Springer
We address the learning of trust based on past observations and context information. We argue that from the truster's point of view trust is best expressed as one of several ...
AAAI
2008
13 years 7 months ago
2008
Building architectures for autonomous rational behavior requires the integration of several AI components, such as planning, learning and execution monitoring. In most cases, the ...
ECML
2006
Springer
13 years 8 months ago
2006
Springer
Abstract. Combining statistical and relational learning receives currently a lot of attention. The majority of statistical relational learning approaches focus on density estimatio...
ILP
2004
Springer
13 years 10 months ago
2004
Springer
For the last ten years a lot of work has been devoted to propositionalization techniques in relational learning. These techniques change the representation of relational problems t...
ICDM
2008
IEEE
13 years 11 months ago
2008
IEEE
In this work, we study the problem of within-network relational learning and inference, where models are learned on a partially labeled relational dataset and then are applied to ...
ICML
2003
IEEE
14 years 5 months ago
2003
IEEE
Kernel methods have gained a great deal of popularity in the machine learning community as a method to learn indirectly in highdimensional feature spaces. Those interested in rela...