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: Block Markov Chains
Singular value distribution of dense random matrices with block Markovian dependence
We have submitted Singular value distribution of dense random matrices with block Markovian dependence, and it is currently under review. This is joint work between Alexander Van Werde and myself. A preprint is available on arXiv.
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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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Spectral norm bounds for block Markov chain random matrices
We have submitted Spectral norm bounds for block Markov chain random matrices, and it is currently under review. This is joint work between Albert Senen-Cerda and myself. A preprint is available on arXiv.
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Open Competition ENW-KLEIN-1 grant
I have recently been awarded an NWO Open Competition ENW-Klein-1 grant. The topic is Clustering and Spectral Concentration in Markov Chains.
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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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