0.03 0.2D4ata (μ) .03 0..2441 .41 0..5599 .67 0.67 1 Middle of the it0h.1 Rank (i2) 1 Interval 0.3 .1 23 .3 0.5 3 .5 44 .7 0.7 5 .9 5 0.9 The theoretical and empirical CDF's are shown in Figure 4 and the q-q plot is shown in the left frame of Figure 5. ...
4. Taking into account some factors, such as the frequent I/O and network communication, we propose an incremental dynamic maintenance strategy for indexes. As there may be some relationship among the various types of graph change operations in the update interval, the optimization mechanism of ...
We further demonstrate that the design of reward functions and the types of training environments are important factors for learning feasible policies. Keywords: subgoal graphs; reinforcement learning; hierarchical path planning; uncertain environments; mobile robots 1. Introduction In this paper, we ...
1. Introduction Researchers studying new materials or novel chemical processes rely on prior art in published technical documents and patented processes registered with patent agencies, such as the United States Patent and Trademark Office (USPTO) or the European Patent Office (EPO). Reading lengthy ...
To relax this condition and enhance one's capability to express this knowledge more precisely, this paper defines q-ROFCGs to deal with competitions in many fields. Fuzzy competition graphs, firstly defined by Samanta and Pal [25] with its generalizations [25–27], express the partialness of ...