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» Learning Preferences with Hidden Common Cause Relations
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PKDD
2009
Springer
184views Data Mining» more  PKDD 2009»
9 years 6 months ago
Learning Preferences with Hidden Common Cause Relations
Abstract. Gaussian processes have successfully been used to learn preferences among entities as they provide nonparametric Bayesian approaches for model selection and probabilistic...
Kristian Kersting, Zhao Xu
ICDM
2009
IEEE
155views Data Mining» more  ICDM 2009»
9 years 6 months ago
Stacked Gaussian Process Learning
—Triggered by a market relevant application that involves making joint predictions of pedestrian and public transit flows in urban areas, we address the question of how to utili...
Marion Neumann, Kristian Kersting, Zhao Xu, Daniel...
IPPS
2003
IEEE
9 years 4 months ago
CORBA Benchmarking: A Course with Hidden Obstacles
Numerous projects have evaluated the performance of CORBA middleware over the past decade. Interestingly, many of the published results are either gathered or analyzed imprecisely...
Adam Buble, Lubomír Bulej, Petr Tuma
ACSC
2004
IEEE
9 years 3 months ago
Learning Models for English Speech Recognition
This paper reports on an experiment to determine the optimal parameters for a speech recogniser that is part of a computer aided instruction system for assisting learners of Engli...
Huayang Xie, Peter Andreae, Mengjie Zhang, Paul Wa...
FOIKS
2008
Springer
9 years 29 days ago
Aggregation of Attack Relations: A Social-Choice Theoretical Analysis of Defeasibility Criteria
Abstract. This paper analyzes the aggregation of different abstract attack relations over a common set of arguments. Each of those attack relations can be considered as the represe...
Fernando A. Tohmé, Gustavo Adrian Bodanza, ...
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