Dive in Deep Learning: Computer Vision, Natural Language Processing, and Signal Processing
Deep learning, a subfield of machine learning, has driven the fast advancement in artificial
intelligence research, prompting astounding forward leaps on long-standing issues in a …
intelligence research, prompting astounding forward leaps on long-standing issues in a …
Global implicit function theorems and the online expectation–maximisation algorithm
The expectation–maximisation (EM) algorithm framework is an important tool for statistical
computation. Due to the changing nature of data, online and mini‐batch variants of EM and …
computation. Due to the changing nature of data, online and mini‐batch variants of EM and …
The fully visible Boltzmann machine and the Senate of the 45th Australian Parliament in 2016
JJ Bagnall, AT Jones, N Karavarsamis… - Journal of Computational …, 2020 - Springer
After the 2016 double dissolution election, the 45th Australian Parliament was formed. At the
time of its swearing in, the Senate of the 45th Australian Parliament consisted of nine …
time of its swearing in, the Senate of the 45th Australian Parliament consisted of nine …
bbl: Boltzmann Bayes Learner for High-Dimensional Inference with Discrete Predictors in R
J Woo, J Wang - Journal of Statistical Software, 2022 - jstatsoft.org
Non-regression-based inferences, such as discriminant analysis, can account for the effect
of predictor distributions that may be significant in big data modeling. We describe bbl, an R …
of predictor distributions that may be significant in big data modeling. We describe bbl, an R …