Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: GridTuner: Reinvestigate Grid Size Selection for Spatiotemporal
  Prediction Models [Technical Report]   With the development of traffic prediction technology, spatiotemporal
prediction models have attracted more and more attention from academia
communities and industry. However, most existing researches focus on reducing
model's prediction error but ignore the error caused by the uneven distribution
of spatial events within a region. In this paper, we study a region
partitioning problem, namely optimal grid size selection problem (OGSS), which
aims to minimize the real error of spatiotemporal prediction models by
selecting the optimal grid size. In order to solve OGSS, we analyze the upper
bound of real error of spatiotemporal prediction models and minimize the real
error by minimizing its upper bound. Through in-depth analysis, we find that
the upper bound of real error will decrease then increase when the number of
model grids increase from 1 to the maximum allowed value. Then, we propose two
algorithms, namely Ternary Search and Iterative Method, to automatically find
the optimal grid size. Finally, the experiments verify that the error of
prediction has the same trend as its upper bound, and the change trend of the
upper bound of real error with respect to the increase of the number of model
grids will decrease then increase. Meanwhile, in a case study, by selecting the
optimal grid size, the order dispatching results of a state-of-the-art
prediction-based algorithm can be improved up to 13.6%, which shows the
effectiveness of our methods on tuning the region partition for spatiotemporal
prediction models.

33
The categories of this paper are: plasm-ph
18
The categories of this paper are: econ
23
The categories of this paper are: solv-int
24
The categories of this paper are: dg-ga
13
The categories of this paper are: quant-ph
34
The categories of this paper are: chem-ph
37
The categories of this paper are: supr-con
35
The categories of this paper are: mtrl-th
16
The categories of this paper are: stat
3
The categories of this paper are: physics
22
The categories of this paper are: chao-dyn
10
The categories of this paper are: q-bio
36
The categories of this paper are: cmp-lg
7
The categories of this paper are: hep-th
31
The categories of this paper are: ao-sci
29
The categories of this paper are: funct-an