Experiments with Relational Neural Networks

@misc{citeulike:1346301, abstract = {The fundamental difference between propositional and relational learners is the ability to handle sets. Most current relational learners handle sets either by aggregating over them or by testing the occurrence of elements with specific properties, but a non-trivial combination of both remains a challenge. In this paper, we present a neural network approach to solve relational learning tasks. These relational neural networks are in principle able to make such a combination. We will discuss some...}, author = {Uwents, Werner and Blockeel, Hendrik }, citeulike-article-id = {1346301}, keywords = {neural-networks, relational-learning, relational-neural-networks, supervised}, posted-at = {2007-05-31 13:18:48}, priority = {2}, title = {Experiments with Relational Neural Networks}, url = {http://citeseer.ist.psu.edu/731023.html} }

TY - GEN ID - citeulike:1346301 L3 - citeulike-article-id:1346301 TI - Experiments with Relational Neural Networks N2 - The fundamental difference between propositional and relational learners is the ability to handle sets. Most current relational learners handle sets either by aggregating over them or by testing the occurrence of elements with specific properties, but a non-trivial combination of both remains a challenge. In this paper, we present a neural network approach to solve relational learning tasks. These relational neural networks are in principle able to make such a combination. We will discuss some... KW - neural-networks KW - relational-learning KW - relational-neural-networks KW - supervised AU - Uwents, Werner AU - Blockeel, Hendrik UR - http://citeseer.ist.psu.edu/731023.html ER -