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134
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JMLR
2010
130views more  JMLR 2010»
14 years 10 months ago
MOA: Massive Online Analysis, a Framework for Stream Classification and Clustering
Massive Online Analysis (MOA) is a software environment for implementing algorithms and running experiments for online learning from evolving data streams. MOA is designed to deal...
Albert Bifet, Geoff Holmes, Bernhard Pfahringer, P...
136
Voted
HICSS
2006
IEEE
176views Biometrics» more  HICSS 2006»
15 years 9 months ago
Learning by Browsing: A Web-Based Multimedia Browsing System for Learning
Multimedia, especially video, is widely used in educational applications. More and more universities and corporations now provide videotaped lectures online for knowledge sharing ...
Ming Lin, Jinwei Cao, Christopher B. R. Diller, Ja...
114
Voted
COLT
2005
Springer
15 years 5 months ago
Data Dependent Concentration Bounds for Sequential Prediction Algorithms
Abstract. We investigate the generalization behavior of sequential prediction (online) algorithms, when data are generated from a probability distribution. Using some newly develop...
Tong Zhang
115
Voted
ETS
2000
IEEE
138views Hardware» more  ETS 2000»
15 years 3 months ago
An Agent Infrastructure to set Collaborative Environments
Collaborative learning supported through computers seems to be very promising, since advances in computational technology enable the widespread use of tools such as bulletin board...
Carlos José M. Olguín, Armando Luiz ...
141
Voted
IPPS
1998
IEEE
15 years 7 months ago
High Performance Data Mining Using Data Cubes on Parallel Computers
On-Line Analytical Processing techniques are used for data analysis and decision support systems. The multidimensionality of the underlying data is well represented by multidimens...
Sanjay Goil, Alok N. Choudhary