Currently, there are three basic methods to detect PSs, i.e., the methods based on normalized amplitude dispersion, phase stability, and correlation.
Although some clustering methods such as ISA incorporate the normalization step in their procedures, most clustering methods work on normalized microarray data.
In this work, we explore how deep reinforcement learning methods based on normalized advantage functions (NAF) can be used to learn real-world robotic manipulation skills, with multiple robots simultaneously pooling their experiences.
The third method used for detecting and locating point-like objects is the search pattern method based on normalized cross-correlation.
Spon; 1996], because the method relies on normalized critical stress distributions remaining unchanged as the tension applied to the joint increases.
These algorithms are associated with the method of normalized functions, are based on a combination of formal and heuristic procedures, and allow one to obtain quasi-optimal solutions after a small number of steps, thus overcoming the computational complexity posed the NP-completeness of discrete optimization problems.
Our methods are based on normalized Bernstein polynomials.
Using Ward's method on the normalized data set, hierarchical agglomerative cluster analysis was conducted in this study.
Second, our proposed regions generating method is based on normalized cut, which generates visual disjoint regions for a given image.
Although the authors of the WGCNA package suggest that the method can run on normalized count data, in the course of considering potential biases, we found the gene lengths varied somewhat among behavioral categories.
