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136
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SIGIR
2008
ACM
15 years 3 months ago
Learning to rank at query-time using association rules
Some applications have to present their results in the form of ranked lists. This is the case of many information retrieval applications, in which documents must be sorted accordi...
Adriano Veloso, Humberto Mossri de Almeida, Marcos...
170
Voted
SIGIR
2002
ACM
15 years 3 months ago
Risk minimization and language modeling in text retrieval dissertation abstract
tion Abstract ChengXiang Zhai (Advisor: John Lafferty) Language Technologies Institute School of Computer Science Carnegie Mellon University With the dramatic increase in online in...
ChengXiang Zhai
129
Voted
AI
2011
Springer
14 years 10 months ago
Expressive markets for donating to charities
When donating money to a (say, charitable) cause, it is possible to use the contemplated donation as a bargaining chip to induce other parties interested in the charity to donate ...
Vincent Conitzer, Tuomas Sandholm
PKDD
2010
Springer
129views Data Mining» more  PKDD 2010»
15 years 2 months ago
Smarter Sampling in Model-Based Bayesian Reinforcement Learning
Abstract. Bayesian reinforcement learning (RL) is aimed at making more efficient use of data samples, but typically uses significantly more computation. For discrete Markov Decis...
Pablo Samuel Castro, Doina Precup
116
Voted
TSP
2008
116views more  TSP 2008»
15 years 3 months ago
Nonideal Sampling and Regularization Theory
Shannon's sampling theory and its variants provide effective solutions to the problem of reconstructing a signal from its samples in some "shift-invariant" space, wh...
Sathish Ramani, Dimitri Van De Ville, Thierry Blu,...