Zheng-Hua Qi

  • Citations Per Year
Learn More
Task scheduling is the key point in grid computing; the current research mainly focuses on isomorphic tasks, but the heterogeneity and incompleteness of tasks is ignored, which will result in unreasonable and unpractical scheduling results. In order to enhance the validity and success rate of resource scheduling, the concept of task equivalence-class based(More)
in order to improve the accuracy and efficiency of directly use of the K-Means clustering for semi-supervised learning, the paper proposes a new semi-supervised learning algorithm based on Radius-Distance. In the algorithm, according to Radius, farthest distance of sample to the cluster center of unlabelled samples using K-Means, and Distance, from cluster(More)
  • 1