JSCIC
2010
12 years 11 months ago
2010
The characteristic methods are known to be very efficient for convection-diffusion problems including the Navier-Stokes equations. Convergence is established when the integrals ar...
JMLR
2010
12 years 12 months ago
2010
In this paper, we propose a novel adaptive step-size approach for policy gradient reinforcement learning. A new metric is defined for policy gradients that measures the effect of ...
ACL
2009
13 years 2 months ago
2009
Stochastic gradient descent (SGD) uses approximate gradients estimated from subsets of the training data and updates the parameters in an online fashion. This learning framework i...
SIGMETRICS
2010
ACM
13 years 3 months ago
2010
ACM
Dynamic voltage and frequency scaling (DVFS) is a wellknown technique for gaining energy savings on desktop and laptop computers. However, its use in server settings requires care...
NN
2010
Springer
13 years 3 months ago
2010
Springer
We present a model-free reinforcement learning method for partially observable Markov decision problems. Our method estimates a likelihood gradient by sampling directly in paramet...
SIMPRA
2008
13 years 5 months ago
2008
This article summarizes `Generalized Response Surface Methodology'(GRSM), extending Box and Wilson's `Response Surface Methodology'(RSM). GRSM allows multiple rando...
CGF
2008
13 years 5 months ago
2008
In this paper we present a technique for computing translational gradients of indirect surface reflectance in scenes containing participating media and significant occlusions. The...
NIPS
1997
13 years 6 months ago
1997
The initial activity-independent formation of a topographic map in the retinotectal system has long been thought to rely on the matching of molecular cues expressed in gradients i...
DAWAK
2007
Springer
13 years 11 months ago
2007
Springer
Several business applications such as marketing basket analysis, clickstream analysis, fraud detection and churning migration analysis demand gradient data analysis. By employing g...
ICIP
2008
IEEE
13 years 11 months ago
2008
IEEE
Image gradients form powerful cues in a host of vision and graphics applications. In this paper, we consider multiple views of a textured planar scene and consider the problem of ...