Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Classification of Passes in Football Matches using Spatiotemporal Data   A knowledgeable observer of a game of football (soccer) can make a subjective
evaluation of the quality of passes made between players during the game. We
investigate the problem of producing an automated system to make the same
evaluation of passes. We present a model that constructs numerical predictor
variables from spatiotemporal match data using feature functions based on
methods from computational geometry, and then learns a classification function
from labelled examples of the predictor variables. Furthermore, the learned
classifiers are analysed to determine if there is a relationship between the
complexity of the algorithm that computed the predictor variable and the
importance of the variable to the classifier. Experimental results show that we
are able to produce a classifier with 85.8% accuracy on classifying passes as
Good, OK or Bad, and that the predictor variables computed using complex
methods from computational geometry are of moderate importance to the learned
classifiers. Finally, we show that the inter-rater agreement on pass
classification between the machine classifier and a human observer is of
similar magnitude to the agreement between two observers.

5
The categories of this paper are: gr-qc
15
The categories of this paper are: nucl-ex
20
The categories of this paper are: acc-phys
2
The categories of this paper are: math
32
The categories of this paper are: atom-ph
10
The categories of this paper are: q-bio
24
The categories of this paper are: dg-ga
9
The categories of this paper are: nlin
7
The categories of this paper are: hep-th
12
The categories of this paper are: nucl-th
31
The categories of this paper are: ao-sci
21
The categories of this paper are: adap-org
22
The categories of this paper are: chao-dyn
36
The categories of this paper are: cmp-lg
18
The categories of this paper are: econ
13
The categories of this paper are: quant-ph