1689 search results - page 26 / 338 » Approximate zero-variance simulation |
ICDE
2010
IEEE
15 years 9 months ago
2010
IEEE
In this paper, we present an abstract framework for online approximation of time-series data that yields a unified set of algorithms for several popular models: data streams, amnes...
94
Voted
ICML
2010
IEEE
14 years 10 months ago
2010
IEEE
Restricted Boltzmann Machines (RBMs) are a type of probability model over the Boolean cube {-1, 1}n that have recently received much attention. We establish the intractability of ...
FLAIRS
2004
14 years 11 months ago
2004
The issue of fire propagation in cities is of obvious importance to Civil Authorities, but does present issues of computational complexity. Our basic assumption is that some event...
70
Voted
FUZZIEEE
2007
IEEE
15 years 4 months ago
2007
IEEE
— Reinforcement learning (RL) is a learning control paradigm that provides well-understood algorithms with good convergence and consistency properties. Unfortunately, these algor...
IROS
2007
IEEE
15 years 4 months ago
2007
IEEE
Abstract— We propose to improve the locomotive performance of humanoid robots by using approximated biped stepping and walking dynamics with reinforcement learning (RL). Although...