Thus, this paper aims to recommend a recognition method for weak parts based on TC.
Along the way, we explain the differences and similarities between optimal prediction, the representer method in data assimilation, and duality methods for finding weak solutions.
The SUR/delta and sequential regression methods are problematic for weak IV scenarios, since they do not adequately account for the error that accompanies estimation of the effect of the IV on the exposure, and they assume that the sampling distribution of the IV estimate is normal.
In [30], Lv et al. developed a penalty function method for the weak price control problem.
(In the earlier "oscillatory number" method for generating weak counterexamples, the creating subject is not explicitly referred to).
This paper presents a method for detecting weak fault signals in chaotic systems based on the chaotic dynamics reconstruction technique and the fuzzy neural system (FNS).
Kanazawa and Uemura [15] proposed a method for matching weak features between two affine invariant images, using a triplet vector descriptor; however, their method does not support images that have local changes.
For a weak interaction between TrkA and p75 receptors (top right corner; see Methods for definition of "weak interaction"), the chosen values of the NGF inhibitor achieved better suppression of the signal than most of the TrkA inhibitor concentrations.
