Motivated by theoretical advancements in dimensionality reduction techniques we use a recent model, called Block Markov Chains, to conduct a practical study of clustering in real-world sequential data.
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Tag: clustering
XVII Brunel-Bielefeld Workshop
Today, Albert Senen-Cerda and Alexander Van Werde presented two posters at the XVII Brunel-Bielefeld Workshop on Random Matrix Theory and Applications.
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Revision of and reading aids for Clustering in Block Markov Chains
We have revised
INFORMS-APS 2019
Last week I travelled to Brisbane, Australia to attend two workshops, and to present our work on Clustering in Block Markov Chains at a conference called INFORMS-APS 2019. While the fourty-eight hours of travel were excruciatingly tiring (and don’t get me started on the jetlag), attending these events was definitely worth it from an academic point of view.
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Reinforcement Learning in Block Markov Chains
On March 29th, 2019, Pascal Lagerweij defended his MSc thesis Reinforcement Learning in Block Markov Chains. His committee consisted of prof.dr.ir Piet Van Mieghem, dr. Matthijs Spaan, and myself (as daily supervisor). Pascal joined our research group Network Architectures and Services on May 22nd, 2018.
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ML Seminars: Clustering in Block Markov Chains
After presenting my poster at Stochastic Networks 2018 on our manuscript Optimal Clustering Algorithms in Block Markov Chains, I received invitations to present at the machine learning seminars of the Centrum Wiskunde & Informatica (CWI) in Amsterdam, as well as locally here at TU Delft. This post also provides you with our revised manuscript, which contains substantially extended results, as well asmy presentation.
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Poster at Stochastic Networks 2018
This week I attended Stochastic Networks 2018, which took place at the International Centre for Mathematical Sciences (ICMS) in Edinburgh, Scotland. I presented a poster at this conference, and I was awarded a small prize for it.
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Optimal clustering algorithms in Block Markov Chains
We have submitted Optimal Clustering Algorithms in Block Markov Chains, and it is currently under review. This is joint work between myself and Alexandre Proutiere. A preprint is available on arXiv.
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