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» Ensemble Algorithms in Reinforcement Learning
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KDD
2006
ACM
129views Data Mining» more  KDD 2006»
14 years 7 months ago
Suppressing model overfitting in mining concept-drifting data streams
Mining data streams of changing class distributions is important for real-time business decision support. The stream classifier must evolve to reflect the current class distributi...
Haixun Wang, Jian Yin, Jian Pei, Philip S. Yu, Jef...
KDD
2005
ACM
139views Data Mining» more  KDD 2005»
14 years 7 months ago
Reasoning about sets using redescription mining
Redescription mining is a newly introduced data mining problem that seeks to find subsets of data that afford multiple definitions. It can be viewed as a generalization of associa...
Mohammed Javeed Zaki, Naren Ramakrishnan
MSWIM
2005
ACM
14 years 28 days ago
A swarm intelligent multi-path routing for multimedia traffic over mobile ad hoc networks
In the last few years, the advance of multimedia applications has prompted researchers to undertake the task of routing multimedia data through Manet. This task is rather difficul...
Saida Ziane, Abdelhamid Mellouk
AAAI
2008
13 years 9 months ago
Another Look at Search-Based Drama Management
A drama manager (DM) monitors an interactive experience, such as a computer game, and intervenes to shape the global experience so it satisfies the author's expressive goals ...
Mark J. Nelson, Michael Mateas
CVPR
2008
IEEE
14 years 9 months ago
Least squares congealing for unsupervised alignment of images
In this paper, we present an approach we refer to as "least squares congealing" which provides a solution to the problem of aligning an ensemble of images in an unsuperv...
Mark Cox, Sridha Sridharan, Simon Lucey, Jeffrey F...