Skip to content
Free planNo credit card requiredStart writing
AI for Research home
AI for Research home
Dashboard
Sign inGet started

article · HAL (Le Centre pour la Communication Scientifique Directe) · 2005

Auto-Supervised Learning in the Bayesian Programming Framework

Pierre Dangauthier, Pierre Bessìère, Anne Spalanzani

Cited by 0Open access

Abstract

Abstract — Domestic and real world robotics requires continuous learning of new skills and behaviors to interact with humans. Auto-supervised learning, a compromise between supervised and completely unsupervised learning, consist in relying on previous knowledge to acquire new skills. We propose here to realize auto-supervised learning by exploiting statistical regularities in the sensorimotor space of a robot. In our context, it corresponds to achieve feature selection in a Bayesian programming framework. We compare several feature selection algorithms and validate them on a real robotic experiment.

Cite this paper

APA 7

Dangauthier, P., Bessìère, P., & Spalanzani, A. (2005). Auto-Supervised Learning in the Bayesian Programming Framework. HAL (Le Centre pour la Communication Scientifique Directe).

MLA 9

Dangauthier, Pierre, et al. “Auto-Supervised Learning in the Bayesian Programming Framework.” HAL (Le Centre pour la Communication Scientifique Directe), 2005.

Chicago

Dangauthier, Pierre, Pierre Bessìère, and Anne Spalanzani. 2005. “Auto-Supervised Learning in the Bayesian Programming Framework.” HAL (Le Centre pour la Communication Scientifique Directe).

Harvard

Dangauthier, P., Bessìère, P. and Spalanzani, A. (2005) ‘Auto-Supervised Learning in the Bayesian Programming Framework’, HAL (Le Centre pour la Communication Scientifique Directe).

BibTeX
@article{dangauthier2005auto,
  title = {{Auto-Supervised Learning in the Bayesian Programming Framework}},
  author = {Dangauthier, Pierre and Bessìère, Pierre and Spalanzani, Anne},
  journal = {HAL (Le Centre pour la Communication Scientifique Directe)},
  year = {2005}
}

Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.

Related papers