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» Evaluating the Robustness of Learning from Implicit Feedback
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SIGIR
2010
ACM
13 years 10 months ago
Learning more powerful test statistics for click-based retrieval evaluation
Interleaving experiments are an attractive methodology for evaluating retrieval functions through implicit feedback. Designed as a blind and unbiased test for eliciting a preferen...
Yisong Yue, Yue Gao, Olivier Chapelle, Ya Zhang, T...
AAAI
2006
13 years 7 months ago
Reinforcement Learning with Human Teachers: Evidence of Feedback and Guidance with Implications for Learning Performance
As robots become a mass consumer product, they will need to learn new skills by interacting with typical human users. Past approaches have adapted reinforcement learning (RL) to a...
Andrea Lockerd Thomaz, Cynthia Breazeal
ETRA
2010
ACM
197views Biometrics» more  ETRA 2010»
14 years 1 months ago
Image ranking with implicit feedback from eye movements
In order to help users navigate an image search system, one could provide explicit information on a small set of images as to which of them are relevant or not to their task. Thes...
David R. Hardoon, Kitsuchart Pasupa
DAGM
2008
Springer
13 years 8 months ago
Implicit Feedback between Reconstruction and Tracking in a Combined Optimization Approach
In this work, we present a combined approach to tracking and reconstruction. An implicit feedback of 3d information to the tracking process is achieved by optimizing a single error...
Olaf Kähler, Joachim Denzler
AIED
2009
Springer
14 years 26 days ago
I learn from you, you learn from me: How to make iList learn from students
We developed a new model for iList, our system that helps students learn linked list. The model is automatically extracted from past student data, and allows iList to track student...
Davide Fossati, Barbara Di Eugenio, Stellan Ohlsso...