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KDD
2012
ACM
187views Data Mining» more  KDD 2012»
11 years 10 months ago
Online learning to diversify from implicit feedback
In order to minimize redundancy and optimize coverage of multiple user interests, search engines and recommender systems aim to diversify their set of results. To date, these dive...
Karthik Raman, Pannaga Shivaswamy, Thorsten Joachi...
ISDA
2010
IEEE
13 years 5 months ago
Intelligent online case-based planning agent model for real-time strategy games
Research in learning and planning in real-time strategy (RTS) games is very interesting in several industries such as military industry, robotics, and most importantly game industr...
Ibrahim Fathy, Mostafa Aref, Omar Enayet, Abdelrah...
CE
2008
62views more  CE 2008»
13 years 7 months ago
Investigating the relationships among instructional strategies and learning styles in online environments
Researchers investigated differences in learner preferences for different types of instructional strategies and learning styles in online environments. Results suggested that matc...
Omur Akdemir, Tiffany A. Koszalka
COLT
2008
Springer
13 years 9 months ago
Competing in the Dark: An Efficient Algorithm for Bandit Linear Optimization
We introduce an efficient algorithm for the problem of online linear optimization in the bandit setting which achieves the optimal O ( T) regret. The setting is a natural general...
Jacob Abernethy, Elad Hazan, Alexander Rakhlin
C5
2005
IEEE
14 years 1 months ago
Croquet Learning Environments: Extending the Value of Campus Life into the Online Experience
Croquet is a broadband communications platform with a 3D user interface and peer-to-peer network architecture that provides educators with a new expressive “meta-medium that is ...
Marilyn May Lombardi, Julian Lombardi