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KDD
2007
ACM
276views Data Mining» more  KDD 2007»
15 years 10 months ago
Nonlinear adaptive distance metric learning for clustering
A good distance metric is crucial for many data mining tasks. To learn a metric in the unsupervised setting, most metric learning algorithms project observed data to a lowdimensio...
Jianhui Chen, Zheng Zhao, Jieping Ye, Huan Liu
EAGC
2004
Springer
15 years 3 months ago
Monitoring Message-Passing Parallel Applications in the Grid with GRM and Mercury Monitor
Application monitoring in the grid for parallel applications is hardly supported in recent grid infrastructures. There is a need to visualize the behavior of the program during its...
Norbert Podhorszki, Zoltán Balaton, Gabor G...
CONCURRENCY
2000
101views more  CONCURRENCY 2000»
14 years 9 months ago
Wide-area parallel programming using the remote method invocation model
Java's support for parallel and distributed processing makes the language attractive for metacomputing applications, such as parallel applications that run on geographically ...
Rob van Nieuwpoort, Jason Maassen, Henri E. Bal, T...
BMCBI
2007
168views more  BMCBI 2007»
14 years 10 months ago
Benchmarking consensus model quality assessment for protein fold recognition
Background: Selecting the highest quality 3D model of a protein structure from a number of alternatives remains an important challenge in the field of structural bioinformatics. M...
Liam J. McGuffin
BMCBI
2010
171views more  BMCBI 2010»
14 years 10 months ago
PyMix - The Python mixture package - a tool for clustering of heterogeneous biological data
Background: Cluster analysis is an important technique for the exploratory analysis of biological data. Such data is often high-dimensional, inherently noisy and contains outliers...
Benjamin Georgi, Ivan Gesteira Costa, Alexander Sc...