1150 search results - page 65 / 230 » Tackling Large State Spaces in Performance Modelling |
HOTOS
2007
IEEE
14 years 25 days ago
2007
IEEE
Data centers are the backend for a large number of services that we take for granted today. A significant fraction of the total cost of ownership of these large-scale storage syst...
ICML
2005
IEEE
14 years 9 months ago
2005
IEEE
This paper presents a novel framework called proto-reinforcement learning (PRL), based on a mathematical model of a proto-value function: these are task-independent basis function...
JMLR
2012
11 years 11 months ago
2012
We present an algorithm for fast posterior inference in penalized high-dimensional state-space models, suitable in the case where a few measurements are taken in each time step. W...
AIIA
2007
Springer
14 years 3 months ago
2007
Springer
The application of Reinforcement Learning (RL) algorithms to learn tasks for robots is often limited by the large dimension of the state space, which may make prohibitive its appli...
GECCO
2007
Springer
14 years 3 months ago
2007
Springer
Genetic algorithms (GAs) have long been used for large join query optimization (LJQO). Previous work takes all queries as based on one granularity to optimize GAs and compares the...