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» Learning to Transform Time Series with a Few Examples
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ATAL
2008
Springer
13 years 8 months ago
A few good agents: multi-agent social learning
In this paper, we investigate multi-agent learning (MAL) in a multi-agent resource selection problem (MARS) in which a large group of agents are competing for common resources. Si...
Jean Oh, Stephen F. Smith
KES
2005
Springer
13 years 11 months ago
Using Relevance Feedback to Learn Both the Distance Measure and the Query in Multimedia Databases
Much of the world’s data is in the form of time series, and many other types of data, such as video, image, and handwriting, can easily be transformed into time series. This fact...
Chotirat (Ann) Ratanamahatana, Eamonn J. Keogh
IDA
2003
Springer
13 years 11 months ago
Learning Dynamic Bayesian Networks from Multivariate Time Series with Changing Dependencies
Abstract. Many examples exist of multivariate time series where dependencies between variables change over time. If these changing dependencies are not taken into account, any mode...
Allan Tucker, Xiaohui Liu
ICDM
2007
IEEE
96views Data Mining» more  ICDM 2007»
14 years 13 days ago
The Chosen Few: On Identifying Valuable Patterns
Constrained pattern mining extracts patterns based on their individual merit. Usually this results in far more patterns than a human expert or a machine learning technique could m...
Björn Bringmann, Albrecht Zimmermann
RECSYS
2009
ACM
14 years 19 days ago
Recommending new movies: even a few ratings are more valuable than metadata
In the Netflix Prize competition many new collaborative filtering (CF) approaches emerged, which are excellent in optimizing the RMSE of the predictions. Matrix factorization (M...
István Pilászy, Domonkos Tikk