Miriam Leenders

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Latent variable models have the potential to add value to large document collections by discovering interpretable, low-dimensional subspaces. In order for people to use such models, however, they must trust them. Unfortunately, typical dimensionality reduction methods for text, such as latent Dirichlet allocation, often produce low-dimensional subspaces(More)
Investigation of synaptic vesicle membrane proteins using multidisciplinary approaches, particularly to characterize synaptic vesicle proteins in synapses, can greatly advance our knowledge of the molecular mechanisms involved in synaptic vesicle exocytosis and neurotransmission. Three approaches are presented in this unit to identify and characterize(More)
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