Sciweavers

1619 search results - page 7 / 324
» Structure in the Space of Value Functions
Sort
View
SIAMMA
2010
97views more  SIAMMA 2010»
13 years 1 months ago
Estimates on Path Functionals over Wasserstein Spaces
In this paper we consider the class a functionals (introduced in [BBS]) Gr,p() defined on Lipschitz curves valued in the p-Wasserstein space. The problem considered is the followi...
S. Bianchini, A. Brancolini
VLDB
2005
ACM
124views Database» more  VLDB 2005»
14 years 5 days ago
Indexing Multi-Dimensional Uncertain Data with Arbitrary Probability Density Functions
In an “uncertain database”, an object o is associated with a multi-dimensional probability density function (pdf), which describes the likelihood that o appears at each positi...
Yufei Tao, Reynold Cheng, Xiaokui Xiao, Wang Kay N...
JMLR
2006
143views more  JMLR 2006»
13 years 6 months ago
Geometric Variance Reduction in Markov Chains: Application to Value Function and Gradient Estimation
We study a sequential variance reduction technique for Monte Carlo estimation of functionals in Markov Chains. The method is based on designing sequential control variates using s...
Rémi Munos
EMNLP
2010
13 years 4 months ago
Storing the Web in Memory: Space Efficient Language Models with Constant Time Retrieval
We present three novel methods of compactly storing very large n-gram language models. These methods use substantially less space than all known approaches and allow n-gram probab...
David Guthrie, Mark Hepple
PKDD
2009
Springer
152views Data Mining» more  PKDD 2009»
14 years 1 months ago
Feature Selection for Value Function Approximation Using Bayesian Model Selection
Abstract. Feature selection in reinforcement learning (RL), i.e. choosing basis functions such that useful approximations of the unkown value function can be obtained, is one of th...
Tobias Jung, Peter Stone