Decomposing the Training of Deep Learned Turbo codes via a Feasible MAP Decoder
Most deep-learned error-correcting codes (DL-ECCs) use binary cross-entropy (BCE)
between the true input bits and the soft decoded outputs of the learned encoder/decoder …
between the true input bits and the soft decoded outputs of the learned encoder/decoder …
[引用][C] Moral Markov Blankets: An Investigation of Some Properties and Value for Machine Learning
Y Li - 2020 - bridges.monash.edu
The thesis studies the how to efficiently and effectively learn Markov blankets from data. The
thesis also studies some of the properties of Markov blankets, so that their quality can be …
thesis also studies some of the properties of Markov blankets, so that their quality can be …