Three approaches to the problem are discussed: use all information equally; weight information by its reliability or simply discard the most unreliable ...
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Three approaches to the problem of learning TV preferences based on tracking the programs users have watched are discussed: use all information equally; ...
Oct 20, 2007 · This section presents the different experiments made to test the approaches proposed to deal with uncertainty in implicit preferences. This ...
Addressing uncertainty in implicit preferences · List of references · Publications that cite this publication. Parameter Boosted Approach to Collaborative ...
Feb 23, 2023 · In this work, we explore several methods for estimating uncertainty. The novelty comes from proposing methods that work in the implicit feedback setting.
Jan 17, 2024 · This research investigated the relation between motivation to avoid uncertainty, as reflected in the need for cognitive closure, implicit theories about the ...
Jun 17, 2024 · In this paper, we introduce Dropsembles, a novel method for uncertainty estimation in tuned implicit functions.
The present studies support the prediction that uncertainty about the self-concept increases willingness to hold and express minority opinions.
Apr 25, 2024 · For the implicit associations model, the intuition is similar: there is only uncertainty about two attributes, so mixing i with k reduces.