This problem is successfully faced by two classes of approaches.
We will develop two classes of approaches – one case-based and the other model-based.
In Fig. 4, we distinguish four major classes of approaches to build message parsers.
We then move on to dissect two classes of approaches to the governance of complex problems, namely by enlarging the knowledge base and enlarging the actor base.
Three classes of approaches (sender, receiver, and environment-oriented approaches) are designed and the probability of in-sequence molecule delivery is investigated.
These classes of approaches can come as integrated multilayer solutions where the FG/BG estimation, made at lower per-pixel level, is refined by the per-region/frame level.
According to[2] in which the state-of-the-art in reverberant speech processing is discussed, there are two classes of approaches in dealing with reverberation problem, i.e., front-end-based and back-end-based approaches.
Three broad classes of approaches are presently used: bypassing this region altogether using wall functions, solving a separate set of equations in the near-wall region, weakly coupled to the outer flow, or simulating the near-wall region in a global, Reynolds-averaged, sense.
These four programs are representative for the classes of approaches currently employed by genome-guided transcript assembly methods.
Our purpose here is not to make a comparison of all existing segmentation methods, but to compare relevant candidates in different classes of approaches.
Three classes of approaches have been proposed as curative strategies for HIV: reactivation approaches, gene therapy-based approaches, and immune-based therapies (Table 1).
