Approximating Bayesian inference with a sparse distributed memory system

@article{Abbott2013ApproximatingBI,
  title={Approximating Bayesian inference with a sparse distributed memory system},
  author={Joshua T. Abbott and Jessica B. Hamrick and T. Griffiths},
  journal={Cognitive Science},
  year={2013},
  volume={35}
}
  • Joshua T. Abbott, Jessica B. Hamrick, T. Griffiths
  • Published 2013
  • Computer Science
  • Cognitive Science
  • Approximating Bayesian inference with a sparse distributed memory system Joshua T. Abbott (joshua.abbott@berkeley.edu) Jessica B. Hamrick (jhamrick@berkeley.edu) Thomas L. Griffiths (tom griffiths@berkeley.edu) Department of Psychology, University of California, Berkeley, CA 94720 USA Abstract we take on this challenge by showing that an associative memory using sparse distributed representations can be used to approximate Bayesian inference, producing behavior consistent with a structured… CONTINUE READING
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