GitHub

Awesome Decision, Classification, and Regression Tree Research Papers

Les E. Atlas, Ronald A. Cole, Jerome T. Connor, Mohamed A. El-Sharkawi, Robert J. Marks II, Yeshwant K. Muthusamy, Etienne Barnard [Paper] ...
Frontiers

Machine Learning in Structural Design: An Opinionated Review

The prominence gained by Artificial Intelligence (AI) over all aspects of human activity today cannot be overstated. This technology is no newcomer to structural engineering, with logic-based AI ...
PNAS

Divisive normalization is an efficient code for multivariate Pareto-distributed environments

Divisive normalization is a ubiquitous computation commonly thought to be an implementation of the efficient coding principle. Despite empirical evidence that it reduces statistical redundancy present ...
C&EN

Machine Learning Models for Equivalent Circulating Density Prediction from Drilling Data

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Equivalent circulating density (ECD) is an important parameter ...
Frontiers

PSBP-SVM: A Machine Learning-Based Computational Identifier for Predicting Polystyrene Binding Peptides

Polystyrene binding peptides (PSBPs) play a key role in the immobilization process. The correct identification of PSBPs is the first step of all related works. In this paper, we proposed a novel ...
GitHub

deep learning object detection

2018/9/18 - update all of recent papers and make some diagram about history of object detection using deep learning. 2018/9/26 - update codes of papers. (official and unofficial) 2018/october - update ...
PNAS

Brain-wide dynamic coactivation states code for hand movements in the resting state

The brain at rest replays activity patterns observed during task performance, but the function of this replay remains unclear. Here, we test whether resting-state patterns encode information states by ...