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» Online Experiments: Lessons Learned
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77
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IWANN
1999
Springer
15 years 1 months ago
Using Temporal Neighborhoods to Adapt Function Approximators in Reinforcement Learning
To avoid the curse of dimensionality, function approximators are used in reinforcement learning to learn value functions for individual states. In order to make better use of comp...
R. Matthew Kretchmar, Charles W. Anderson
88
Voted
CHI
2008
ACM
15 years 10 months ago
Human-Currency Interaction: learning from virtual currency use in China
What happens when the domains of HCI design and money intersect? This paper presents analyses from an ethnographic study of virtual currency use in China to discuss implications f...
Scott D. Mainwaring, Yang Wang 0005
96
Voted
SOCIALCOM
2010
14 years 7 months ago
Learning to Predict Ad Clicks Based on Boosted Collaborative Filtering
This paper addresses the topic of social advertising, which refers to the allocation of ads based on individual user social information and behaviors. As social network services (e...
Teng-Kai Fan, Chia-Hui Chang
TREC
2004
14 years 11 months ago
Amberfish at the TREC 2004 Terabyte Track
The TREC 2004 Terabyte Track evaluated information retrieval in largescale text collections, using a set of 25 million documents (426 GB). This paper gives an overview of our expe...
Nassib Nassar
ICML
2004
IEEE
15 years 10 months ago
Large margin hierarchical classification
We present an algorithmic framework for supervised classification learning where the set of labels is organized in a predefined hierarchical structure. This structure is encoded b...
Ofer Dekel, Joseph Keshet, Yoram Singer