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CORR
2008
Springer
153views Education» more  CORR 2008»
13 years 6 months ago
A Truthful Mechanism for Offline Ad Slot Scheduling
We consider the Offline Ad Slot Scheduling problem, where advertisers must be scheduled to sponsored search slots during a given period of time. Advertisers specify a budget constr...
Jon Feldman, S. Muthukrishnan, Evdokia Nikolova, M...
ML
2008
ACM
101views Machine Learning» more  ML 2008»
13 years 6 months ago
On reoptimizing multi-class classifiers
Significant changes in the instance distribution or associated cost function of a learning problem require one to reoptimize a previously-learned classifier to work under new cond...
Chris Bourke, Kun Deng, Stephen D. Scott, Robert E...
AI
1998
Springer
13 years 6 months ago
Model-Based Average Reward Reinforcement Learning
Reinforcement Learning (RL) is the study of programs that improve their performance by receiving rewards and punishments from the environment. Most RL methods optimize the discoun...
Prasad Tadepalli, DoKyeong Ok
MP
2002
143views more  MP 2002»
13 years 5 months ago
Extending Dantzig's bound to the bounded multiple-class binary Knapsack problem
The bounded multiple-class binary knapsack problem is a variant of the knapsack problem where the items are partitioned into classes and the item weights in each class are a multip...
François Vanderbeck