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124
Voted
PROCEDIA
2010
15 years 2 months ago
2010
When solving machine learning problems, there is currently little automated support for easily experimenting with alternative statistical models or solution strategies. This is be...
135
Voted
IJRR
2008
15 years 3 months ago
2008
Designing distributed controllers for self-reconfiguring modular robots has been consistently challenging. We have developed a reinforcement learning approach which can be used bo...
126
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KDD
2010
ACM
15 years 7 months ago
2010
ACM
We analyze the application of ensemble learning to recommender systems on the Netflix Prize dataset. For our analysis we use a set of diverse state-of-the-art collaborative filt...
152
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ICCHP
2004
Springer
15 years 9 months ago
2004
Springer
Diversity in learning style represents an obstacle teachers have to deal with. In the case of pupils with visual perception troubles, teachers cannot propose to students with diffi...
160
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MIR
2005
ACM
15 years 9 months ago
2005
ACM
Concept drifting is an important and challenging research issue in the field of machine learning. This paper mainly addresses the issue of semantic concept drifting in time series...