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PKDD
2009
Springer
152views Data Mining» more  PKDD 2009»
14 years 3 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
ICASSP
2011
IEEE
13 years 9 days ago
Objective evaluation of the Dynamic Model Selection method for spectral voice conversion
Spectral voice conversion is usually performed using a single model selected in order to represent a tradeoff between goodness of fit and complexity. Recently, we proposed a new ...
Pierre Lanchantin, Xavier Rodet
CLEF
2005
Springer
14 years 2 months ago
Content-Based Retrieval of Medical Images by Combining Global Features
A combination of several classifiers using global features for the content description of medical images is proposed. Beside well known texture histogram features, downscaled repr...
Mark Oliver Güld, Christian Thies, Benedikt F...
HICSS
2005
IEEE
148views Biometrics» more  HICSS 2005»
14 years 2 months ago
Evaluating Web-Based E-Government Services with a Citizen-Centric Approach
One of the challenges in delivering e-government services is to design the Web sites to make it easier for citizens to find desired information. However, little work is found to e...
Lili Wang, Stuart Bretschneider, Jon P. Gant
ACL
2008
13 years 10 months ago
Integrating Graph-Based and Transition-Based Dependency Parsers
Previous studies of data-driven dependency parsing have shown that the distribution of parsing errors are correlated with theoretical properties of the models used for learning an...
Joakim Nivre, Ryan T. McDonald