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KDD
1998
ACM
212views Data Mining» more  KDD 1998»
13 years 12 months ago
Learning to Predict Rare Events in Event Sequences
Learning to predict rare events from sequences of events with categorical features is an important, real-world, problem that existing statistical and machine learning methods are ...
Gary M. Weiss, Haym Hirsh
SAB
2010
Springer
189views Optimization» more  SAB 2010»
13 years 5 months ago
TeXDYNA: Hierarchical Reinforcement Learning in Factored MDPs
Reinforcement learning is one of the main adaptive mechanisms that is both well documented in animal behaviour and giving rise to computational studies in animats and robots. In th...
Olga Kozlova, Olivier Sigaud, Christophe Meyer
ITS
1998
Springer
139views Multimedia» more  ITS 1998»
13 years 12 months ago
Habitable 3D Learning Environments for Situated Learning
The growing emphasis on learner-centered education focuses on intrinsically motivated learning via engaging problem-solving activities. Habitable 3D learning environments, in which...
William H. Bares, Luke S. Zettlemoyer, James C. Le...
ICWL
2007
Springer
14 years 1 months ago
Structured Blended Learning Implementation for an Open Learning Environment
Abstract. This paper proposes a structured blended learning for providing elearning strategies adopted by the Open University of Hong Kong (OUHK). The paper identified the factors ...
Jason K. Y. Chan, Ken C. K. Law
AAAI
2012
11 years 10 months ago
Transfer Learning in Collaborative Filtering with Uncertain Ratings
To solve the sparsity problem in collaborative filtering, researchers have introduced transfer learning as a viable approach to make use of auxiliary data. Most previous transfer...
Weike Pan, Evan Wei Xiang, Qiang Yang