Kee Siong Ng
Kee Siong Ng
AUSTRAC / Australian National University
Verified email at austrac.gov.au - Homepage
TitleCited byYear
The MADlib analytics library: or MAD skills, the SQL
JM Hellerstein, C Ré, F Schoppmann, DZ Wang, E Fratkin, A Gorajek, ...
Proceedings of the VLDB Endowment 5 (12), 1700-1711, 2012
3052012
A monte-carlo aixi approximation
J Veness, KS Ng, M Hutter, W Uther, D Silver
Journal of Artificial Intelligence Research 40, 95-142, 2011
1552011
Context tree switching
J Veness, KS Ng, M Hutter, M Bowling
2012 Data Compression Conference, 327-336, 2012
362012
Reinforcement Learning via AIXI Approximation.
J Veness, KS Ng, M Hutter, D Silver
AAAI, 2010
272010
Personalisation for user agents
JJ Cole, MJ Gray, JW Lloyd, KS Ng
Proceedings of the fourth international joint conference on Autonomous …, 2005
252005
Probabilistic modelling, inference and learning using logical theories
KS Ng, JW Lloyd, WTB Uther
Annals of Mathematics and Artificial Intelligence 54 (1-3), 159-205, 2008
222008
Detecting non-compliant consumers in spatio-temporal health data: A case study from Medicare Australia
KS Ng, Y Shan, DW Murray, A Sutinen, B Schwarz, D Jeacocke, ...
2010 IEEE International Conference on Data Mining Workshops, 613-622, 2010
192010
Probabilities on sentences in an expressive logic
M Hutter, JW Lloyd, KS Ng, WTB Uther
Journal of Applied Logic 11 (4), 386-420, 2013
172013
Learning comprehensible theories from structured data
KS Ng
Australian National University, 2005
152005
Probabilistic reasoning in a classical logic
KS Ng, JW Lloyd
Journal of Applied Logic 7 (2), 218-238, 2009
142009
Symbolic learning for adaptive agents
J Cole, JW Lloyd, KS Ng
Proceedings of the Annual Partner Conference, Smart Internet Technology …, 2003
142003
Predicting High Impact Academic Papers using Citation Network Features
D McNamara, P Wong, P Christen, KS Ng
DMApps 3, 2013
122013
Learning modal theories
J Lloyd, K Ng
Inductive Logic Programming, 320-334, 2007
122007
A simple explanation of partial least squares
KS Ng
112013
Stream processing with multiple connections between local and central modelers
M Brand, LJ Adams, DR Brown, KS Ng
US Patent App. 14/710,418, 2016
102016
Compute intensive stream processing with concept drift detection
M Brand, LJ Adams, DR Brown, KS Ng
US Patent App. 14/710,333, 2016
52016
Probabilistic and logical beliefs
JW Lloyd, KS Ng
International Workshop on Languages, Methodologies and Development Tools for …, 2007
52007
Compute intensive stream processing
M Brand, LJ Adams, DR Brown, KS Ng
US Patent App. 14/710,098, 2016
42016
Reflections on agent beliefs
JW Lloyd, KS Ng
International Workshop on Declarative Agent Languages and Technologies, 122-139, 2007
32007
Modal functional logic programming
JW Lloyd, KS Ng, J Veness
32007
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