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» Investigating human-computer optimization
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UAI
2004
13 years 8 months ago
Active Model Selection
Classical learning assumes the learner is given a labeled data sample, from which it learns a model. The field of Active Learning deals with the situation where the learner begins...
Omid Madani, Daniel J. Lizotte, Russell Greiner
ICGA
1997
122views Optimization» more  ICGA 1997»
13 years 8 months ago
A Comparison of Global and Local Search Methods in Drug Docking
Molecular docking software makes computational predictions of the interaction of molecules. This can be useful, for example, in evaluating the binding of candidate drug molecules ...
Christopher D. Rosin, R. Scott Halliday, William E...
ATAL
2010
Springer
13 years 8 months ago
Exploiting scale invariant dynamics for efficient information propagation in large teams
Large heterogeneous teams will often be in situations where sensor data that is uncertain and conflicting is shared across a peer-to-peer network. Not every team member will have ...
Robin Glinton, Paul Scerri, Katia P. Sycara
ATAL
2010
Springer
13 years 8 months ago
On the limits of dictatorial classification
In the strategyproof classification setting, a set of labeled examples is partitioned among multiple agents. Given the reported labels, an optimal classification mechanism returns...
Reshef Meir, Ariel D. Procaccia, Jeffrey S. Rosens...
ATAL
2010
Springer
13 years 8 months ago
Strategy-proof allocation of multiple items between two agents without payments or priors
We investigate the problem of allocating items (private goods) among competing agents in a setting that is both prior-free and paymentfree. Specifically, we focus on allocating mu...
Mingyu Guo, Vincent Conitzer