


default search action
AAAI Fall Symposium 2012 - Machine Aggregation of Human Judgment: Arlington, VA, USA
- Machine Aggregation of Human Judgment, Papers from the 2012 AAAI Fall Symposium, Arlington, Virginia, USA, November 2-4, 2012. AAAI Technical Report FS-12-06, AAAI 2012

- Wei Sun:

Organizing Committee and Preface. - Anamaria Berea, Daniel T. Maxwell, Charles Twardy:

Improving Forecasting Accuracy Using Bayesian Network Decomposition in Prediction Markets. - Seyda Ertekin, Haym Hirsh, Cynthia Rudin:

Selective Sampling of Labelers for Approximating the Crowd. - Clifton Forlines, Sarah Miller, Srinivasamurthy Prakash, John Irvine:

Heuristics for Improving Forecast Aggregation. - Aidan Lyon, Fiona Fidler, Mark Burgman:

Judgement Swapping and Aggregation. - Nicholas Scott Mattei, Judy Goldsmith, Andrew Klapper:

On the Complexity of Bribery and Manipulation in Tournaments with Uncertain Information. - Yiftach Nagar, Thomas W. Malone:

Improving Predictions with Hybrid Markets. - Lyle H. Ungar, Barbara A. Mellers, Ville Satopää, Philip Tetlock, Jon Baron:

The Good Judgment Project: A Large Scale Test of Different Methods of Combining Expert Predictions. - H. Van Dyke Parunak:

Cluster-Weighted Aggregation. - H. Van Dyke Parunak, Elizabeth Downs:

Estimating Diversity among Forecaster Models. - Tamsyn Peronel Waterhouse:

An Information-Theoretic Metric for Collective Human Judgment. - Lirong Xia:

Generalized Weighted Model Counting: An Efficient Monte-Carlo Meta-Algorithm.

manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.


Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCID













