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» Classes and clusters in data analysis
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COLT
2005
Springer
16 years 3 days ago
Towards a Theoretical Foundation for Laplacian-Based Manifold Methods
In recent years manifold methods have attracted a considerable amount of attention in machine learning. However most algorithms in that class may be termed ā€œmanifold-motivatedā€...
Mikhail Belkin, Partha Niyogi
TCS
2011
15 years 1 months ago
Two faces of active learning
An active learner has a collection of data points, each with a label that is initially hidden but can be obtained at some cost. Without spending too much, it wishes to find a cla...
Sanjoy Dasgupta
ICCSA
2004
Springer
15 years 12 months ago
A Sequence-Focused Parallelisation of EMBOSS on a Cluster of Workstations
Abstract. A number of individual bioinformatics applications (particularly BLAST and other sequence searching methods) have recently been implemented over clusters of workstations ...
Karl Podesta, Martin Crane, Heather J. Ruskin
ACSW
2004
15 years 8 months ago
Cost-Efficient Mining Techniques for Data Streams
A data stream is a continuous and high-speed flow of data items. High speed refers to the phenomenon that the data rate is high relative to the computational power. The increasing...
Mohamed Medhat Gaber, Shonali Krishnaswamy, Arkady...
CLUSTER
2002
IEEE
15 years 6 months ago
File and Object Replication in Data Grids
Data replication is a key issue in a Data Grid and can be managed in different ways and at different levels of granularity: for example, at the file level or object level. In the ...
Heinz Stockinger, Asad Samar, Koen Holtman, Willia...