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JMLR
2010
146views more  JMLR 2010»
13 years 3 months ago
Accurate Ensembles for Data Streams: Combining Restricted Hoeffding Trees using Stacking
The success of simple methods for classification shows that is is often not necessary to model complex attribute interactions to obtain good classification accuracy on practical p...
Albert Bifet, Eibe Frank, Geoffrey Holmes, Bernhar...
NN
2010
Springer
187views Neural Networks» more  NN 2010»
13 years 3 months ago
Efficient exploration through active learning for value function approximation in reinforcement learning
Appropriately designing sampling policies is highly important for obtaining better control policies in reinforcement learning. In this paper, we first show that the least-squares ...
Takayuki Akiyama, Hirotaka Hachiya, Masashi Sugiya...
CSREAEEE
2006
99views Business» more  CSREAEEE 2006»
13 years 10 months ago
Quality Assurance Procedures: New Enhancements to the Learning Management System at AOU
- This paper presents a complete description of the improvements that have been conducted for the learning management system at Arab Open University. AOU is the first regional univ...
Jehad Al-Sadi, Bayan Abu Shawar, Taleb Sarie
NIPS
1997
13 years 10 months ago
Nonparametric Model-Based Reinforcement Learning
This paper describes some of the interactions of model learning algorithms and planning algorithms we have found in exploring model-based reinforcement learning. The paper focuses...
Christopher G. Atkeson
ICML
2005
IEEE
14 years 10 months ago
Learning to rank using gradient descent
We investigate using gradient descent methods for learning ranking functions; we propose a simple probabilistic cost function, and we introduce RankNet, an implementation of these...
Christopher J. C. Burges, Tal Shaked, Erin Renshaw...