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SIGIR
2008
ACM
13 years 8 months ago
Personalized active learning for collaborative filtering
Collaborative Filtering (CF) requires user-rated training examples for statistical inference about the preferences of new users. Active learning strategies identify the most infor...
Abhay Harpale, Yiming Yang
CAISE
2003
Springer
14 years 1 months ago
Building a Collaborative Information Agent in a HomeBot Application
Abstract Information agents are cooperative agents whose main goal is to collaborate and assist task agents like mobile agents in obtaining information from heterogeneous data sour...
Lito Perez Cruz, Arkady B. Zaslavsky, David Squire
VR
1999
IEEE
113views Virtual Reality» more  VR 1999»
14 years 27 days ago
The Round Earth Project: Deep Learning in a Collaborative Virtual World
The Round Earth Project is investigating how virtual reality technology can be used to help teach concepts that are counter-intuitive to a learner's currently held mental mod...
Andrew E. Johnson, Thomas G. Moher, Stellan Ohlsso...
ICRA
2010
IEEE
128views Robotics» more  ICRA 2010»
13 years 7 months ago
A game-theoretic procedure for learning hierarchically structured strategies
— This paper addresses the problem of acquiring a hierarchically structured robotic skill in a nonstationary environment. This is achieved through a combination of learning primi...
Benjamin Rosman, Subramanian Ramamoorthy
ATAL
2006
Springer
14 years 11 days ago
Probabilistic policy reuse in a reinforcement learning agent
We contribute Policy Reuse as a technique to improve a reinforcement learning agent with guidance from past learned similar policies. Our method relies on using the past policies ...
Fernando Fernández, Manuela M. Veloso