the National Natural Science Foundation of China under Grant Nos.61732003,61832003,61972110 and U19A2059;the National Key Research and Development Program of China under Grant No.2019YFB2101902;the CCF-Baidu Open Fund CCF-BAIDU under Grant No.OF2021011.
Kernel is a kind of data summary which is elaborately extracted from a large dataset.Given a problem,the solution obtained from the kernel is an approximate version of the solution obtained from the whole dataset with...
This work was supported by the National Natural Science Foundation of China under Grant Nos.61832003 and U1811461.
Array partitioning is an important research problem in array management area,since the partitioning strategies have important influence on storage,query evaluation,and other components in array management systems.Mean...
国家自然科学基金,'Research on Routing and Wave length assignment in WDM All-optical Networks'
Steiner connected dominating set (SCDS) is a generalization of the famous connected dominating set problem, where only a specified set of required vertices has to be dominated by a connected dominating set, and know...
In this paper, a computational effective heuristic method for solving the minimum makespan problem of job shop scheduling is presented. It is based on taboo search procedure and on the shifting bottleneck procedure us...
The problem of efficiently monitoring the network flow is regarded as the problem to find out the minimum weighted weak vertex cover set for a given graphG=(V,E). In this paper, we give an approximation algorithm to s...
Two sets are close if their symmetric difference is a sparse set. It is shown that NP-hard sets are not C=P-close unless NP C=C=P. This improves the previous result and has implication in quantum compulation.
In this paper, a new covering algorithm called FCV1 is presented. FCV1 comprises two algorithms, one of which is able to fast search for a partial rule and exclude the larg portion of negative examples, the other algo...
In applications of learning from examples to real-world tasks, feature subset selection is important to speed up training and to improve generalization performance. ideally, an inductive algorithm should use subset of...