@inproceedings{IR003,
  added-at = {2009-06-22T10:05:09.000+0200},
  address = {University College Dublin, Ireland},
  author = {McElligott, M. and Sorensen, H.},
  biburl = {http://www.bibsonomy.org/bibtex/2eb50467984fee42d9156da48d4f2fccf/n.nanas},
  booktitle = {4th Irish Neural Networks Conference '94},
  interhash = {d2f801d307a3ff6d69970c530375c7e8},
  intrahash = {eb50467984fee42d9156da48d4f2fccf},
  keywords = {imported},
  pages = {141--146},
  qnote = {Excellent paper. It is based on the theoretical backround of scripts and K-lines to construct a two layer connection model capable of representing binary relations between terms in a paper. The problem is that the representation is not evolvable by itself so the writers propose a genetic algorithm as a solution to the learning and tuning problem. The idea is also not well described and analyzed. It has to be investigated in more detail.},
  timestamp = {2009-06-22T10:05:09.000+0200},
  title = {An Evolutionary Connectionist Approach to Personal Information Filtering.},
  year = 1994
}