Haku
Viitteet 1-2 / 2
An Improved Nearest Neighbor Based Entropy Estimator with Local Ellipsoid Correction and its Application to Evaluation of MCMC Posterior Samples
(2018)
Pro gradu -tutkielma
Pro gradu -tutkielma
Entropy estimation is an important technique to summarize the uncertainty of a distribution underlying a set of samples. It ties to important research problems in fields such as statistics, machine learning and so on. The ...
Deep neural networks to forecast cardiac and respiratory deterioration of intensive care patients
(2018)
Pro gradu -tutkielma
Pro gradu -tutkielma
Deep neural networks have proven valuable in several applications. The availability of electronic health records at high frequency has made it possible to provide realtime prediction to stay relevant to the user’s immediate ...