627 search results - page 35 / 126 » Learning from Logged Implicit Exploration Data |
75
Voted
SEC
2008
15 years 2 months ago
2008
We examine the problem of protecting online banking accounts from password brute-forcing attacks. Our method is to create a large number of honeypot userID-password pairs. Presenta...
106
Voted
SIGIR
2010
ACM
15 years 4 months ago
2010
ACM
Interleaving experiments are an attractive methodology for evaluating retrieval functions through implicit feedback. Designed as a blind and unbiased test for eliciting a preferen...
78
Voted
ICCV
2009
IEEE
16 years 5 months ago
2009
IEEE
Similarity metrics that are learned from labeled training
data can be advantageous in terms of performance
and/or efficiency. These learned metrics can then be used
in conjuncti...
108
Voted
CIKM
2008
Springer
15 years 2 months ago
2008
Springer
Learning-to-rank algorithms, which can automatically adapt ranking functions in web search, require a large volume of training data. A traditional way of generating training examp...
109
Voted
ICRA
2010
IEEE
14 years 11 months ago
2010
IEEE
— Reinforcement learning (RL) algorithms have long been promising methods for enabling an autonomous robot to improve its behavior on sequential decision-making tasks. The obviou...