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PKDD
2009
Springer
184views Data Mining» more  PKDD 2009»
15 years 10 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
FGCN
2008
IEEE
175views Communications» more  FGCN 2008»
15 years 10 months ago
Environment Recognition Based on Human Actions Using Probability Networks
To realize context aware applications for smart home environments, it is necessary to recognize function or usage of objects as well as categories of them. On conventional researc...
Hiroshi Miki, Atsuhiro Kojima, Koichi Kise
142
Voted
FUZZIEEE
2007
IEEE
15 years 9 months ago
Learning Undirected Possibilistic Networks with Conditional Independence Tests
—Approaches based on conditional independence tests are among the most popular methods for learning graphical models from data. Due to the predominance of Bayesian networks in th...
Christian Borgelt
121
Voted
PKDD
2007
Springer
121views Data Mining» more  PKDD 2007»
15 years 9 months ago
Improved Algorithms for Univariate Discretization of Continuous Features
In discretization of a continuous variable its numerical value range is divided into a few intervals that are used in classification. For example, Na¨ıve Bayes can benefit from...
Jussi Kujala, Tapio Elomaa
TARK
2007
Springer
15 years 9 months ago
Unawareness, beliefs and games
We define a generalized state-space model with interactive unawareness and probabilistic beliefs. Such models are desirable for many potential applications of asymmetric unawaren...
Aviad Heifetz, Martin Meier, Burkhard C. Schipper