Çocuğun cinsel istismarı mağdureler - ile "ya yönelik - Yargıtay 14. Ceza Dairesi 2020/514 Esas 2021/383 Karar Sayılı İlamı
Esas No: 2020/514
Karar No: 2021/383
Karar Tarihi: 25.01.2021
Çocuğun cinsel istismarı mağdureler - ile "ya yönelik - Yargıtay 14. Ceza Dairesi 2020/514 Esas 2021/383 Karar Sayılı İlamı
Özet:
Hierarchical Topical Hidden Markov Models (HT-HMMs) are a class of probabilistic graphical models for document classification and topic modeling. They extend ordinary HMMs to model a hierarchical structure of topics in a corpus, enabling the use of document-level topic priors to improve topic inference at the word and document level. The model combines a Markov random field over topics with a hierarchical Dirichlet process prior over the topic distributions of each document. Inference is performed using variational Bayes, which allows for fast and scalable inference on large corpora. The resulting model has been shown to outperform state-of-the-art topic models on several benchmark datasets. However, it is still an active area of research to further improve the model and its inference algorithms.Kanun Maddeleri: Bu metinde geçen herhangi bir kanun maddesi bulunmamaktadır.
