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COMPSAC
2001
IEEE
15 years 8 months ago
Debunking some Common Misconceptions on E-Learning
The recent explosion in distance learning programs on the world-wide web has spawned a lively debate on the future and the potential of these programs. While distance learning wil...
Ugo A. Buy
166
Voted
AIIDE
2006
15 years 6 months ago
Designing a Reinforcement Learning-based Adaptive AI for Large-Scale Strategy Games
This paper investigates the challenges posed by the application of reinforcement learning to large-scale strategy games. In this context, we present steps and techniques which syn...
Charles A. G. Madeira, Vincent Corruble, Geber Ram...
137
Voted
NIPS
2004
15 years 6 months ago
Boosting on Manifolds: Adaptive Regularization of Base Classifiers
In this paper we propose to combine two powerful ideas, boosting and manifold learning. On the one hand, we improve ADABOOST by incorporating knowledge on the structure of the dat...
Balázs Kégl, Ligen Wang
ICML
2010
IEEE
15 years 5 months ago
Boosting for Regression Transfer
The goal of transfer learning is to improve the learning of a new target concept given knowledge of related source concept(s). We introduce the first boosting-based algorithms for...
David Pardoe, Peter Stone
120
Voted
ETS
2002
IEEE
126views Hardware» more  ETS 2002»
15 years 4 months ago
Collaborative multimedia development teams in higher education
This paper investigates the ways in which the expectations and beliefs of academic staff about computerbased learning impact the design of learning media and their integration int...
Gabi Diercks-O'Brien, Ruth Sharratt