We devised a data-driven method where the network is first trained to predict all graph edges and the least discriminative edges (for deciding body part ownership) are not used at test time to determine the optimal skeleton. We found that this approach yields skeletons with fewer errors (unconn...
The average period, τc, (Figure 4b) shows a similar behavior although the errors on measurements at each PTW are much larger than those found for Pd. The average τc increases with PTW and becomes constant after 15–20 s at a mean value which corresponds to M = 7.5 ± 0.15 ...
Reaction-diffusion systems are frequently used in systems biology to model developmental and signalling processes. In many applications, count numbers of the diffusing molecular species are very low, leading to the need to explicitly model the inherent v
They’re not technically part of the Scrum framework, but they’re so common among Scrum teams that they’re found on almost every Scrum project. 1 User stories and story points User stories help you to capture what your users need from the software so you can build it out in chunks ...
There are a number of alternative machine learning methods which are not as familiar and popular as the previously mentioned methods. This part of the manuscript attempts to describe these approaches to stability prediction. An example of these methods is found in [20] where the OS-extreme learni...
For ratios larger than about 8 this decrease was found not as steep anymore as predicted which could hint to a small additional noise source. Next, we found a systematic constant deviation of the polarization angle by −1◦ for all signal-to-noise ra- tios of the polarized brightness. ...
whereis a universal positive constant depending only onand. For a proof of this fact, see [38, Chapter 2]. In the forthcoming analysis, we will often make use of standard functional inequalities (Poincaré, trace, ...). If not explicitly mentioned, the constants in such inequalities, and ...
However, since the server and workload are not identical, it might bias the result. Alternatively, on servers with a high memory failing probability, we can set checkpoints and store an image of the server on a near (not many network hops) attached storage. In case of a failure, the ...
equation (8) with respect toqφ(xt) that replaces the need for an ODE forward solver with a stochastic approximation that can be evaluated in an embarrassingly parallel fashion. This eliminates the practical challenges associated with maximizing equation (8). Our main theoretical result takes the...
The association constant Ka is not comparable to the microscopic association constants K1:=kon1/koff1=57.5217K2:=kon2/koff2=1.7969. The latter signal a stronger first and a very weak second binding. As has been said before: Because of the lack of physical units, the analysis just allows fo...