The following pages link to The learnability of voting rules (Q840821):
Displaying 16 items.
- Optimal social choice functions: a utilitarian view (Q899165) (← links)
- Voting rules as error-correcting codes (Q899434) (← links)
- On the learnability of majority rule (Q996375) (← links)
- Forecasting voting behaviour using machine learning -- Poland in transition (Q1593550) (← links)
- Algorithms for strategyproof classification (Q1761283) (← links)
- On the approximability of Dodgson and Young elections (Q1761290) (← links)
- Incentive compatible regression learning (Q1959425) (← links)
- Robust winner determination in positional scoring rules with uncertain weights (Q1986068) (← links)
- Learning agents for iterative voting (Q1990294) (← links)
- Learning, proximity and voting: theory and empirical evidence from nuclear referenda (Q2217352) (← links)
- Optimizing positional scoring rules for rank aggregation (Q2321258) (← links)
- Voting: a machine learning approach (Q2670537) (← links)
- A new perspective on implementation by voting trees (Q5198671) (← links)
- Systems, Procedures and Voting Rules in Context (Q5236595) (← links)
- How Often Are You Decisive: an Enquiry About the Pivotality of Voting Rules (Q5391901) (← links)
- Recognizing distributed approval voting forms and correspondences (Q6573343) (← links)
