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Agent-based modeling is a paradigm of modeling dynamic systems of interacting agents that are individually governed by specified behavioral rules. Training a model of such agents to produce an emergent behavior by specification of the emergent (as opposed to agent) behavior is easier from a demonstration perspective. Without the involvement of manual behavior specification via code or reliance on...
This work introduces adversarial feature selection, a game between a feature selection agent and its adversary. The adversarial approach is drawn from existing work on adversarial classification. The feature selection algorithm selects a subset of features from the original set based on their utility towards classification accuracy. A cost is incurred based on features selected. The adversary modifies...
Playlist generation may be defined as the generation of a list of musical items or songs based on a pre-existing set of songs selected by the user. A common approach would be to suggest a number of songs based on the currently playing song. An exhaustive algorithm would involve computation of similarity of musical attributes of all of the songs with respect of the reference song. This paper introduces...
Playlist generation may be defined as the generation of a list of music items or songs based on a preexisting set of songs. A common approach would be to suggest a number of songs based on the currently playing song. An exhaustive algorithm, based on similarity calculation between two songs, would involve computation of similarity of musical attributes of all of the songs with respect of the reference...
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