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Distributed course allocation with asymmetric friendships
Students' decisions on whether to take a class are strongly affected by whether their friends plan to take the class with them.
Evaluation of Neural Networks Defenses and Attacks using NDCG and Reciprocal Rank Metrics
In this paper, we present two metrics which are specifically designed to measure the effect of attacks, or the recovery effect of defenses, on the output of neural networks in multiclass classification tasks.
Multi-label Ranking: Mining Multi-label and Label Ranking Data
We survey multi-label ranking tasks, specifically multi-label classification and label ranking classification.
Improving Label Ranking Ensembles using Boosting Techniques
Label ranking is a prediction task which deals with learning a mapping between an instance and a ranking (i. e., order) of labels from a finite set, representing their relevance to the instance.
Lie on the Fly: Strategic Voting in an Iterative Preference Elicitation Process
We also provide a careful voting center which is aware of the possible manipulations and avoids manipulative queries when possible.
