Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 2 of 2 for “"Bayesian Learning Method"”.
-
Data-Driven sequential decision making with learning under ambiguity
… to model uncertain transition probabilities in a Bayesian framework. We first construct a set of prior distributions for unknown transition probabilities. With the evidence of historical data, the prior distributions in the ambiguity set are reevaluated using a likelihood-ratio test, and only …
-
Towards Robust Deep Neural Networks
… state-of-the-art performance for most machine learning tasks. Unfortunately, they are vulnerable to attacks, such as Trojans during training and Adversarial Examples at test time. Adversarial Examples are inputs with carefully crafted perturbations added to benign samples. In the Computer …