Browsing by Subject "manifold learning"
Now showing items 1-3 of 3
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A Geometric Approach to Biomedical Time Series Analysis
(2020)Biomedical time series are non-invasive windows through which we may observe human systems. Although a vast amount of information is hidden in the medical field's growing collection of long-term, high-resolution, and multi-modal ... -
Bayesian Computation for High-Dimensional Continuous & Sparse Count Data
(2018)Probabilistic modeling of multidimensional data is a common problem in practice. When the data is continuous, one common approach is to suppose that the observed data are close to a lower-dimensional smooth manifold. There ... -
Learning gradients on manifolds
(BERNOULLI, 2010-02)
