37 search results - page 1 / 8 » A Framework of Stochastic Power Management Using Hidden Mark... |
DATE
2008
IEEE
13 years 10 months ago
2008
IEEE
- The effectiveness of stochastic power management relies on the accurate system and workload model and effective policy optimization. Workload modeling is a machine learning proce...
CSL
2010
Springer
2010
Springer
The Hidden Information State model: A practical framework for POMDP-based spoken dialogue management
13 years 4 months ago
This paper explains how Partially Observable Markov Decision Processes (POMDPs) can provide a principled mathematical framework for modelling the inherent uncertainty in spoken di...
DAC
2000
ACM
14 years 5 months ago
2000
ACM
In this paper, we introduce a new technique for modeling and solving the dynamic power management (DPM) problem for systems with complex behavioral characteristics such as concurr...
MM
2005
ACM
13 years 10 months ago
2005
ACM
In this paper we introduce a probabilistic framework to exploit hierarchy, structure sharing and duration information for topic transition detection in videos. Our probabilistic d...
CDC
2010
IEEE
12 years 11 months ago
2010
IEEE
This paper is concerned with developing an information-theoretic framework to aggregate the state space of a Hidden Markov Model (HMM) on discrete state and observation spaces. The...