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Inferring agent objectives at different scales of a complex adaptive system



Dieter Hendricks , Adam Cobb , Richard Everett , Jonathan Downing , Stephen J. Roberts

* 6 pages, 3 figures, NIPS 2017 Workshop on Learning in the Presence of Strategic Behaviour (MLStrat) 

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Using real-time cluster configurations of streaming asynchronous features as online state descriptors in financial markets



Dieter Hendricks

* 19 pages, 6 figures, 3 tables, under review at Pattern Recognition Letters 

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Optimal client recommendation for market makers in illiquid financial products



Dieter Hendricks , Stephen J. Roberts

* 12 pages, 3 figures, 1 table 

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Statistical Inference, Learning and Models in Big Data



Beate Franke , Jean-François Plante , Ribana Roscher , Annie Lee , Cathal Smyth , Armin Hatefi , Fuqi Chen , Einat Gil , Alexander Schwing , Alessandro Selvitella , Michael M. Hoffman , Roger Grosse , Dieter Hendricks , Nancy Reid

* Int Stat Rev 84 (2017) 371-389 
* Thematic Program on Statistical Inference, Learning, and Models for Big Data, Fields Institute; 23 pages, 2 figures 

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High-speed detection of emergent market clustering via an unsupervised parallel genetic algorithm



Dieter Hendricks , Diane Wilcox , Tim Gebbie

* S Afr J Sci. 2016;112(1/2), Art. #2014-0340, 9 pages 
* 10 pages, 5 figures, 4 tables, More thorough discussion of implementation 

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