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126
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SDM
2010
SIAM
195views Data Mining» more  SDM 2010»
15 years 5 months ago
Adaptive Informative Sampling for Active Learning
Many approaches to active learning involve periodically training one classifier and choosing data points with the lowest confidence. An alternative approach is to periodically cho...
Zhenyu Lu, Xindong Wu, Josh Bongard
178
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EUMAS
2006
15 years 5 months ago
A Customizable Multi-Agent System for Distributed Data Mining
We present a general Multi-Agent System framework for distributed data mining based on a Peer-toPeer model. The framework adopts message-based asynchronous communication and a dyn...
Giancarlo Fortino, Giuseppe Di Fatta
131
Voted
FLAIRS
2001
15 years 5 months ago
Spatial Reasoning for Information Brokering
The World Wide Webprovides new opportunities for collecting information from distributed, multiple, and heterogeneous data sources. Information brokering can bc used to provide co...
Heiner Stuckenschmidt, Christoph Schlieder, Ubbo V...
128
Voted
FGCS
2007
160views more  FGCS 2007»
15 years 3 months ago
Distributed data mining in grid computing environments
The computing-intensive data mining for inherently Internet-wide distributed data, referred to as Distributed Data Mining (DDM), calls for the support of a powerful Grid with an e...
Ping Luo, Kevin Lü, Zhongzhi Shi, Qing He
136
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ICA
2010
Springer
15 years 3 months ago
SMALLbox - An Evaluation Framework for Sparse Representations and Dictionary Learning Algorithms
SMALLbox is a new foundational framework for processing signals, using adaptive sparse structured representations. The main aim of SMALLbox is to become a test ground for explorati...
Ivan Damnjanovic, Matthew E. P. Davies, Mark D. Pl...