Abstract
Get full access to this article
View all access options for this article.
References
1.
Aoki
RYS
,
Assuncao
RM
,
Vaz de Melo
POS
Luck is hard to beat: The difficulty of sports prediction . In: KDD-2017 Proceedings , August 2017 .
2.
Power
P
,
Ruiz
H
,
Wei
X
,
Lucey
P
Not all passes are created equal: Objectively measuring the risk and reward of passes in soccer from tracking data . In: KDD-2017 Proceedings , August 2017 .
3.
Le
H
,
Carr
P
,
Yue
Y
,
Lucey
P
2017 . Data-driven ghosting using deep imitation learning . In: MIT Sloan Sports Analytics Conference . Available online at www.sloansportsconference.com/wp-content/uploads/2017/02/1671-2.pdf
4.
Plappert
M
,
Mandery
C
,
Asfour
T
The KIT motion-language dataset . Big Data . 2016 ; 4 :236 –252 .
5.
Mendoza
JP
,
Simmons
R
,
Veloso
M
Detection of Subtle context-dependent model inaccuracies in high-dimensional robot domains . Big Data . 2016 ; 4 :269 –285 .
6.
Ratliff
N
,
Meier
F
,
Kappler
D
,
Schaal
S
DOOMED: Direct Online Optimization of Modeling Errors in Dynamics . Big Data . 2016 ; 4 :253 –268 .
7.
Palca
J
. Peter Stone can't get enough of robots playing soccer . 2014 . Available online at www.npr.org/2014/01/15/262641016/peter-stone-cant-get-enough-of-robots-playing-soccer