Conditional random fields (CRFs) have been quite successful in various machine learning tasks. However, as larger and larger data become acceptable for the current computational ma...
— Randomized agreement protocols have been around for more than two decades. Often assumed to be inefficient due to their high expected communication and computation complexitie...
Henrique Moniz, Nuno Ferreira Neves, Miguel Correi...
Type systems for secure information flow aim to prevent a program from leaking information from variables classified as H to variables classified as L. In this work we extend such...
Markov order-1 conditional random fields (CRFs) and semi-Markov CRFs are two popular models for sequence segmentation and labeling. Both models have advantages in terms of the typ...
Parallel independent disks can enhance the performance of external memory (EM) algorithms, but the programming task is often di cult. In this paper we develop randomized variants ...