1150 search results - page 44 / 230 » Tackling Large State Spaces in Performance Modelling |
ML
2010
ACM
13 years 7 months ago
2010
ACM
Image annotation datasets are becoming larger and larger, with tens of millions of images and tens of thousands of possible annotations. We propose a strongly performing method tha...
VALUETOOLS
2006
ACM
14 years 2 months ago
2006
ACM
Min-max functions are dynamic programming operators of zero-sum deterministic games with finite state and action spaces. The problem of computing the linear growth rate of the or...
AGS
2009
Springer
14 years 3 months ago
2009
Springer
Abstract. We describe a distributed architecture for situated largescale agent-based simulations with predominately local interactions. The approach, implemented in AglobeX Simulat...
EMMCVPR
2001
Springer
14 years 1 months ago
2001
Springer
Hidden Markov Models (HMMs) are an useful and widely utilized approach to the modeling of data sequences. One of the problems related to this technique is finding the optimal stru...
AAMAS
2007
Springer
14 years 3 months ago
2007
Springer
Abstract. We study optimal control in large stochastic multi-agent systems in continuous space and time. We consider multi-agent systems where agents have independent dynamics with...