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In general, a preference learning system is provided with a set of items (e.g., products) for which preferences are known, and the task is to learn a function that predicts preferences for a new set of items (e.g., new products not seen so far), or for the same set of items in a different context (e.g., the same ...
Sep 19, 2015 · The paper presents a focused survey about the presence and the use of the concept of “preferences” in Artificial Intelligence.
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It covers approaches to representation, reasoning and learning of preferences. Methods in AI are contrasted with those in related areas, such as operations ...
The paper presents a focused survey about the presence and the use of the concept of “preferences” in Artificial Intelligence. Preferences are a central ...
Abstract The paper presents a focused survey about the presence and the use of the concept of “preferences” in Artificial Intelligence. Preferences are a.
PDF | The paper presents a focused survey about the presence and the use of the concept of “preferences” in Artificial Intelligence. Preferences are a.
Preference learning is a subfield in machine learning, which is a classification method based on observed preference information. In the view of supervised ...
The features that are preferred can be seen as 'protective' of the patient's interests. These types of preferences may plausibly vary across decision-making ...
The premise of this paper is that as AI is being broadly de- ployed in the world, we need well-founded theories of, and methodologies and algorithms for, how to ...
This paper lays out an approach to address these problems from a rigorous foundation in decision theory, game theory, social choice theory, and the algorithmic ...