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 * Home * People * Kee Siong Ng**

a Malaysian computer scientist and adjunct research fellow at //College of Engineering and Computer Science//, Australian National University. His research interests covers symbolic or knowledge-based machine learning, [|functional] and [|logic programming] paradigms, Universal reinforcement learning including a joint attempt with Joel Veness, Marcus Hutter and David Silver at approximating an AIXI agent.
 * Kee Siong Ng**,

=Selected Publications=
 * Kee Siong Ng (**2001**). //Neural Networks for Structured Data//. BSc-Thesis, [|zipped ps]
 * Kee Siong Ng (**2005**). //Learning Comprehensible Theories from Structured Data//. PhD-Thesis, [|pdf]
 * Kee Siong Ng, John Lloyd, William Uther (**2008**). //Probabilistic modelling, inference and learning using logical theories//. [|pdf]
 * Joel Veness, Kee Siong Ng, Marcus Hutter, David Silver (**2009**). //A Monte Carlo AIXI Approximation//, [|pdf]
 * Joel Veness, Kee Siong Ng, Marcus Hutter, David Silver (**2010**). //Reinforcement Learning via AIXI Approximation//. Association for the Advancement of Artificial Intelligence (AAAI), [|pdf]
 * John Lloyd, Kee Siong Ng (**2010**). //Declarative Programming for Agent Applications//. [|pdf]

=External Links=
 * [|Kee Siong Ng] from Microsoft Academic Search

=References= =What links here?= include page="Kee Siong Ng" component="backlinks" limit="40"
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