… The preferences are uncertain in the sense … ’s preferences are assumed to take the form
of a binary relation on Y. We present an algorithm that requires the identification of preferences …

… These techniques are based on Utility functions, Binary preference relations, Model-based …
Binary preference relations decompose the learning procedure into binary relations. Pairwise …

… Preferences are defined using binary preference relations … the winnow operator and its
interaction with other relational algebra … We will identify the classes of preference queries to which …

… Further, the identification of our approach relies on the special regressor approach, eg, …
Parameters of interests can be identified from the linearized model via normal approaches …

… costs of eliciting the entire preference relation, ie expressing it … used to identify interesting
patterns in an interactive manner. … Binary feature sets attributes and cover contain features that …

… most preferred product of a user is equivalent to identifying a … of “preference”, and
introduces a binary decision tree … queries of an interaction is derived as a function of this tree. …

… In this paper, the preference feedback part of the multi-interactive evolutionary multi-… a
new preference feedback mode of binary selection is proposed. The initial preference distance …

… In any decision making problem, once the set of feasible alternatives (X) is identified, … A
preference relation R is a binary relation defined on the set X that is characterised by a function μ …

… This paper examines two methods of modeling binary choice with … identification can be the
correlation of decisions across group members. We emphasize the first source of identification …

… binary classification. We explain how to approach different … that the classes of a digit
recognition task were pairwise linearly … from a (valued) preference relation has received a lot of …