Decentralized Markov Decision Processes (DEC-MDPs) are a popular model of agent-coordination problems in domains with uncertainty and time constraints but very difficult to solve...
This paper investigates the impact of subspace based techniques for acoustic modeling in automatic speech recognition (ASR). There are many well known approaches to subspace based...
Single-document summarization and multidocument summarization are very closely related tasks and they have been widely investigated independently. This paper examines the mutual i...
Complex systems consist of a large number of entities with their independent local rules and goals, along with their interactions. The effect of these properties tends to produce ...
Yongchang Li, Michael Balchanos, Bassem Nairouz, N...
The most popular model used in automatic speech recognition is the hidden Markov model (HMM). Though good performance has been obtained with such models there are well known limit...