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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...
GECCO
2004
Springer
211views Optimization» more  GECCO 2004»
15 years 9 months ago
Node-Depth Encoding for Evolutionary Algorithms Applied to Network Design
Network design involves several areas of engineering and science. Computer networks, electrical circuits, transportation problems, and phylogenetic trees are some examples. In gene...
Alexandre C. B. Delbem, André Carlos Ponce ...
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GLOBECOM
2008
IEEE
15 years 10 months ago
Adaptive Multicast Tree Construction for Elastic Data Streams
— In this paper, we revisit the problem of multicast tree construction in overlay peer-to-peer networks. We present an iterative online multicast tree construction algorithm for ...
Ying Zhu, Ken Q. Pu
APWEB
2006
Springer
15 years 7 months ago
Web-Based Genomic Information Integration with Gene Ontology
Despite the dramatic growth of online genomic data, their understanding is still in early stage. To have meaningful interpretation, it requires the integration of various types of ...
Kai Xu
SCAI
2008
15 years 5 months ago
CBR for Advice Giving in a Data-Intensive Environment
Reusing past experiences by reasoning from past cases poses particular problems when the input to case retrieval comes from large amounts of online data. Volve has developed a syst...
Agnar Aamodt