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ICML
2010
IEEE
15 years 8 months ago
Finite-Sample Analysis of LSTD
In this paper we consider the problem of policy evaluation in reinforcement learning, i.e., learning the value function of a fixed policy, using the least-squares temporal-differe...
Alessandro Lazaric, Mohammad Ghavamzadeh, Ré...
ICASSP
2010
IEEE
15 years 7 months ago
Large margin estimation of n-gram language models for speech recognition via linear programming
We present a novel discriminative training algorithm for n-gram language models for use in large vocabulary continuous speech recognition. The algorithm uses large margin estimati...
Vladimir Magdin, Hui Jiang
COR
2008
118views more  COR 2008»
15 years 7 months ago
An effective two-stage simulated annealing algorithm for the minimum linear arrangement problem
In this paper, an improved Two-Stage Simulated Annealing algorithm is presented for the Minimum Linear Arrangement Problem for Graphs. This algorithm integrates several distinguis...
Eduardo Rodriguez-Tello, Jin-Kao Hao, Jose Torres-...
ENTCS
2008
64views more  ENTCS 2008»
15 years 7 months ago
Effective Computability of Solutions of Ordinary Differential Equations The Thousand Monkeys Approach
In this note we consider the computability of the solution of the initial-value problem for ordinary differential equations with continuous right-hand side. We present algorithms ...
Pieter Collins, Daniel S. Graça
CORR
2006
Springer
96views Education» more  CORR 2006»
15 years 7 months ago
Metric entropy in competitive on-line prediction
Competitive on-line prediction (also known as universal prediction of individual sequences) is a strand of learning theory avoiding making any stochastic assumptions about the way...
Vladimir Vovk