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Fast Online Learning in the Presence of Latent Variables

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We want to thank Erich Kummerfeld, David Danks and David Heckerman warmly for valuable recommendations, helps and sharing their sources with us.

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Correspondence to Durdane Kocacoban or James Cussens.

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Durdane Kocacoban I am a PhD student in the Artificial Intelligence Group in the Computer Science Department at University of York since 2015. I am a graduate of the Middlesex University where I received an MSc in Operational Research, with Distinction in 2015. My earlier degree is BSc in Mathematics at Selcuk University in 2010. My main research interests are in the fields of online machine learning approaches particular Bayesian Networks and graphical models. Statistical methods in artificial intelligence.

James Cussens I am a Senior Lecturer in the Artificial Intelligence Group in the Computer Science Department at University of York since 1997. Before that researcher at Kings College, London, Glasgow Caledonian and Oxford. I graduated from the University of Warwick with a BSc Computer Science degree in 1986. After graduating with a BSc in Computer Science, I received my PhD in Philosophy of Science at Kings College London in 1989. My main interest is machine learning particular Bayesian methods and graphical models. Applying discrete optimisation algorithms to machine learning. Statistical methods in artificial intelligence.

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Kocacoban, D., Cussens, J. Fast Online Learning in the Presence of Latent Variables. Digitale Welt 4, 37–42 (2020).

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