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» Variational methods for Reinforcement Learning
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124
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LR
2011
170views more  LR 2011»
14 years 7 months ago
Routing automated guided vehicles in container terminals through the Q-learning technique
This paper suggests a routing method for automated guided vehicles in port terminals that uses the Q-learning technique. One of the most important issues for the efficient operati...
Su Min Jeon, Kap Hwan Kim, Herbert Kopfer
CVPR
2007
IEEE
16 years 2 months ago
Part-based Face Recognition Using Near Infrared Images
Recently, we developed NIR based face recognition for highly accurate face recognition under illumination variations [10]. In this paper, we present a part-based method for improv...
Ke Pan, ShengCai Liao, Zhijian Zhang, Stan Z. Li, ...
SIGPRO
2010
111views more  SIGPRO 2010»
14 years 7 months ago
Semi-supervised speaker identification under covariate shift
In this paper, we propose a novel semi-supervised speaker identification method that can alleviate the influence of non-stationarity such as session dependent variation, the recor...
Makoto Yamada, Masashi Sugiyama, Tomoko Matsui
105
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LACL
2001
Springer
15 years 5 months ago
Structural Equations in Language Learning
In categorial systems with a fixed structural component, the learning problem comes down to finding the solution for a set of typeassignment equations. A hard-wired structural co...
Michael Moortgat
100
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PKDD
2009
Springer
148views Data Mining» more  PKDD 2009»
15 years 7 months ago
Feature Selection by Transfer Learning with Linear Regularized Models
Abstract. This paper presents a novel feature selection method for classification of high dimensional data, such as those produced by microarrays. It includes a partial supervisio...
Thibault Helleputte, Pierre Dupont