9.66J | Fall 2004 | Undergraduate

Computational Cognitive Science

Lecture Notes

nov_9_2004_final.pdf

Description:

This file explains controlling complexity in Bayesian neural networks, controlling complexity in infinite mixture models, discussion about computational strengths and weaknesses, and cognitive relevance.

Resource Type:
Lecture Notes
pdf
166 kB
nov_9_2004_final.pdf