The algorithm, based on feature selection with tree-based ensemble methods, is simple and generic, making it adaptable to other types of genomic data and interactions.
The detection resolution of one pixel depend on the algorithm based on the MATLAB software.
The algorithm based on the PA model performs better than the one based on the ER model.
Prof. Tsachy Weissman's lab is improving the algorithm based on people's preference of how an image is compressed.
The algorithm based on FTRL works for any decision set, bounded or unbounded.
ClickMedix developed the algorithm based on survey screening questions used to identify people as at risk or not at risk for diabetes.
The algorithm, based on the Artificial Potential Field (APF) technique, takes a more lateral approach to obstacle avoidance.
Results show a good performance of the algorithm, based on comparisons with other alternatives found in the literature.
We provide a mathematical analysis of the convergence of the algorithm, based on the probabilistic theory of large deviations.
In order to improve the stability of the algorithm based on central differences, an additional matrix called step response is also calculated.
The algorithm, based on free-energy differences, provides a more natural way of approaching the problem and improves convergence compared to the widely used direct iteration method.
