ML Anthology

Symbiosis in Multimodal Concept Learning

Jukka Hekanaho
ICML 1995 pp. 278-285
doi:10.1016/B978-1-55860-377-6.50042-6 /icml/1995/hekanaho1995icml-symbiosis/

Abstract

In this paper we discuss an approach for learning multimodal concepts with Genetic Algorithms. The presented system Join-GA is a Genetic Algorithm for first order logic concept learning that has some features from both Michigan and Pittsburgh approaches. In fact, with different parameter settings it can be made either to a Michigan or to a Pittsburgh type system. The system learns multimodal concepts using, in addition to the normal genetic operations, symbiosis between individuals.

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Cite

Text

Hekanaho. "Symbiosis in Multimodal Concept Learning." International Conference on Machine Learning, 1995. doi:10.1016/B978-1-55860-377-6.50042-6

Markdown

[Hekanaho. "Symbiosis in Multimodal Concept Learning." International Conference on Machine Learning, 1995.](https://mlanthology.org/icml/1995/hekanaho1995icml-symbiosis/) doi:10.1016/B978-1-55860-377-6.50042-6

BibTeX

@inproceedings{hekanaho1995icml-symbiosis,
  title     = {{Symbiosis in Multimodal Concept Learning}},
  author    = {Hekanaho, Jukka},
  booktitle = {International Conference on Machine Learning},
  year      = {1995},
  pages     = {278-285},
  doi       = {10.1016/B978-1-55860-377-6.50042-6},
  url       = {https://mlanthology.org/icml/1995/hekanaho1995icml-symbiosis/}
}