1150 search results - page 60 / 230 » Tackling Large State Spaces in Performance Modelling |
NN
2007
Springer
13 years 8 months ago
2007
Springer
Echo State Networks (ESNs) have been shown to be effective for a number of tasks, including motor control, dynamic time series prediction, and memorizing musical sequences. Howeve...
CORR
2008
Springer
13 years 9 months ago
2008
Springer
-- This paper presents the current state of a work in progress, whose objective is to better understand the effects of factors that significantly influence the performance of the L...
IPPS
2007
IEEE
14 years 3 months ago
2007
IEEE
This paper explores the correlation of instruction counts and cache misses to runtime performance for a large family of divide and conquer algorithms to compute the Walsh–Hadama...
PODS
2006
ACM
14 years 9 months ago
2006
ACM
We study the randomized version of a computation model (introduced in [9, 10]) that restricts random access to external memory and internal memory space. Essentially, this model c...
ATAL
2007
Springer
14 years 3 months ago
2007
Springer
Reinforcement learning promises a generic method for adapting agents to arbitrary tasks in arbitrary stochastic environments, but applying it to new real-world problems remains di...