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PRDC
2000
IEEE
15 years 9 months ago
Statistical non-parametric algorithms to estimate the optimal software rejuvenation schedule
In this paper, we extend the classical result by Huang, Kintala, Kolettis and Fulton (1995), and in addition propose a modified stochastic model to determine the software rejuvena...
Tadashi Dohi, Katerina Goseva-Popstojanova, Kishor...
ICML
2001
IEEE
16 years 6 months ago
Continuous-Time Hierarchical Reinforcement Learning
Hierarchical reinforcement learning (RL) is a general framework which studies how to exploit the structure of actions and tasks to accelerate policy learning in large domains. Pri...
Mohammad Ghavamzadeh, Sridhar Mahadevan
ICPR
2010
IEEE
16 years 27 days ago
Typographical Features for Scene Text Recognition
Scene text images feature an abundance of font style variety but a dearth of data in any given query. Recognition methods must be robust to this variety or adapt to the query data...
Jerod Weinman
IPPS
2006
IEEE
16 years 3 hour ago
Predicting failures of computer systems: a case study for a telecommunication system
The goal of online failure prediction is to forecast imminent failures while the system is running. This paper compares Similar Events Prediction (SEP) with two other well-known t...
Felix Salfner, M. Schieschke, Miroslaw Malek
ISSS
1999
IEEE
121views Hardware» more  ISSS 1999»
15 years 10 months ago
Event-Driven Power Management of Portable Systems
The policy optimization problem for dynamic power management has received considerable attention in the recent past. We formulate policy optimization as a constrained optimization...
Tajana Simunic, Giovanni De Micheli, Luca Benini