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» On Online Learning of Decision Lists
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KDD
2012
ACM
199views Data Mining» more  KDD 2012»
13 years 4 months ago
Trustworthy online controlled experiments: five puzzling outcomes explained
Online controlled experiments are often utilized to make datadriven decisions at Amazon, Microsoft, eBay, Facebook, Google, Yahoo, Zynga, and at many other companies. While the th...
Ron Kohavi, Alex Deng, Brian Frasca, Roger Longbot...
ICMLA
2003
15 years 3 months ago
A Distributed Reinforcement Learning Approach to Pattern Inference in Go
— This paper shows that the distributed representation found in Learning Vector Quantization (LVQ) enables reinforcement learning methods to cope with a large decision search spa...
Myriam Abramson, Harry Wechsler
IADIS
2004
15 years 3 months ago
The Intercollege Student Intranet
In this paper we present the Intercollege Intranet, which has been developed within the strategic aims of the College to offer better services to students and faculty and to enhan...
Philippos Pouyioutas, Maria Poveda, George Soleas,...
106
Voted
IJVR
2008
118views more  IJVR 2008»
15 years 1 months ago
HERA: Learner Tracking in a Virtual Environment
The main goals of using simulations and Virtual Environments for Training/Learning (VET/L) are to avoid risks and unwanted consequences, to reduce training costs, and to promote tr...
Kahina Amokrane, Domitile Lourdeaux, Jean-Marie Bu...
NIPS
2004
15 years 3 months ago
The Power of Selective Memory: Self-Bounded Learning of Prediction Suffix Trees
Prediction suffix trees (PST) provide a popular and effective tool for tasks such as compression, classification, and language modeling. In this paper we take a decision theoretic...
Ofer Dekel, Shai Shalev-Shwartz, Yoram Singer