In the improved algorithm, we introduce the idea of triangle inequality and a pseudo-random state transfer strategy to enhance the guidance of target points and improve the search efficiency and quality of the algorithm. In addition, we propose a pheromone update strategy based on the ...
The algorithm is controlled by two scalar parameters, namely a distance parameter for the aggregation and another parameter controlling the minimal cluster size. Extensive experiments are conducted to give a comprehensive evaluation of the clustering performance on synthetic and real-world datasets, with ...
Sequential pattern mining is one of the fundamental tools for many important data analysis tasks, such as web browsing behavior analysis. Based on frequent patterns, decision-makers can obtain both economic gains and social values. Sequential data, on the other hand, frequently contain sensitive info...
Motivated in part by the applications in string-solving, and by the desire to make progress on seemingly very difficult open theoretical problems, various results exist which investigate the computability and/or complexity of the satisfiability problem for combinations of string constraints. The works ...
Inverse Protein Folding (IPF) is an important task of protein design, which aims to design sequences compatible with a given backbone structure. Despite the prosperous development of algorithms for this task, existing methods tend to rely on noisy predic
Discovering the deviation of perceived level with different indicators. (3) Providing suggestions on how to reduce the perception deviation with related indicators. In this process, it is necessary to construct an evaluation index system, scientifically characterize each evaluation information, and aggregat...
Biomedical relation classification has been significantly improved by the application of advanced machine learning techniques on the raw texts of scholarly publications. Despite this improvement, the reliance on large chunks of raw text makes these algorithms suffer in terms of generalization, precision, ...
Based on the theoretical results, a new criterion is proposed to tell which trained model is better suited for evaluating the given policy. At last, the effectiveness of the proposed criterion is demonstrated on both benchmark and synthetic offline datasets. 1 INTRODUCTION Reinforcement learning (RL...
we show that the proposed method converges to a stationary point of the nonsmooth manifold optimization problem. Moreover, we propose a globalized semismooth Newton method to solve the augmented Lagrangian subproblem on manifolds efficiently. The local superlinear convergence of the manifold semismooth New...
Both streams of research build on the insight that economic activity does “not grind to a halt because the government cannot or does not provide an adequate underpinning of law” (Dixit, 2004: 3). Speculation about an “institutional void” helped popularize the argument, highlighting the ...