And if it doesn't work well enough the first time, then the iterative process of figuring out why the instructions, for example, were not clear enough or why it didn't give the algorithm enough time to think, allows you to refine the idea, refine the prompt, and so on, and to go ...
In general, we can write the preceding iterative equation as (2.3)xt+1=A(xt,p), which is valid for a deterministic method; however, in modern metaheuristic algorithms, randomization is often used in an algorithm, and in many cases, randomization appears in the form of a set of m random...
AI-generated review detectionUser-generated contentPretrained language modelText fillingOnline reviews significantly influence consumer purchasing decisions and serve as a vital reference for product improvement. With the surge of generative artificial intelligence (AI) technologies such as ChatGPT, some ...
Graph Cuts have also been used in segmentation to incorporate user interaction - a user provides seed points to the algorithm (e.g. mark some pixel as foreground, and another as background) and from this the segmentation is calculated. Wang et al. (2018) propose BIFSeg, an interactive segm...
Then there are three problems in each round of iteration. First, how to generate high-quality data on pseudo-labels? This is actually the simplest problem in essence. We have all kinds of decoding algorithms, whichever algorithm is better to use. Second, how to filter out high-quality pseudo...
Retrosynthesis is a crucial task in drug discovery and organic synthesis, where artificial intelligence (AI) is increasingly employed to expedite the process. However, existing approaches employ token-by-token decoding methods to translate target molecul
algorithm designed to optimize performance by executing multiple policies across initial states and imitating the trajectory with the highest reward in each state. The authors provide an upper bound on the expected regret of the l...
As Equation (2) is a typical nonlinear least-square problem, the common solving method is the G-N algorithm which is adopted in [16]. The G-N method provides a high local convergence speed, but the large iteration increment might lead to the slow global convergence or even divergence. To...
In (Park et al., 2013e), an iterative algorithm based on the MM approach was proposed to maximize achievable sum-rate through joint decompression of BS signals and decoding of user messages. Similarly, in (Sardellitti et al., 2015), an iterative algorithm has been proposed for computation ...
In this study, we establish an air-to-ground communication model, subsequently devising a strategy for user dynamics. This is followed by the introduction of a joint scheduling process for path and resource allocation, named ISATR (iterative scheduling algorithm of trajectory and resource). This ...