A Brief Introduction to Probabilistic Machine Learning and Its Relation to Neuroscience

Thomas P. Trappenberg. A Brief Introduction to Probabilistic Machine Learning and Its Relation to Neuroscience. In Taras Kowaliw, Nicolas Bredeche, René Doursat, editors, Growing Adaptive Machines - Combining Development and Learning in Artificial Neural Networks. Volume 557 of Studies in Computational Intelligence, pages 61-108, Springer, 2014. [doi]

@incollection{Trappenberg14,
  title = {A Brief Introduction to Probabilistic Machine Learning and Its Relation to Neuroscience},
  author = {Thomas P. Trappenberg},
  year = {2014},
  doi = {10.1007/978-3-642-55337-0_2},
  url = {http://dx.doi.org/10.1007/978-3-642-55337-0_2},
  researchr = {https://researchr.org/publication/Trappenberg14},
  cites = {0},
  citedby = {0},
  pages = {61-108},
  booktitle = {Growing Adaptive Machines - Combining Development and Learning in Artificial Neural Networks},
  editor = {Taras Kowaliw and Nicolas Bredeche and René Doursat},
  volume = {557},
  series = {Studies in Computational Intelligence},
  publisher = {Springer},
  isbn = {978-3-642-55336-3},
}