Hidden Markov Models (HMMs) are important tools for modeling sequence data. However, they are restricted to discrete latent states, and are largely restricted to Gaussian and disc...
Le Song, Sajid M. Siddiqi, Geoffrey J. Gordon, Ale...
This paper describes the study conducted to design and evaluate a two-level on-line scheduler to dynamically schedule a stream of sequential and multi-threaded batch jobs on large...
Marco Pasquali, Ranieri Baraglia, Gabriele Capanni...
This paper is concerned with taking an engineering approach towards the application of metaheuristic problem solving methods, i.e. heuristics that aim to solve a wide variety of p...
In this paper we consider the issue of energy efficiency in random access networks and show that optimizing transmission probabilities of nodes can enhance network performance in t...
Amir Mahdi Khodaian, Babak Hossein Khalaj, Mohamma...
Accurately reconstructing the large-scale gene order in an ancestral genome is a critical step to better understand genome evolution. In this paper, we propose a heuristic algorit...
Jian Ma, Aakrosh Ratan, Brian J. Raney, Bernard B....