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NIPS
2008
13 years 7 months ago
Exploring Large Feature Spaces with Hierarchical Multiple Kernel Learning
For supervised and unsupervised learning, positive definite kernels allow to use large and potentially infinite dimensional feature spaces with a computational cost that only depe...
Francis Bach
INFOVIS
2003
IEEE
13 years 11 months ago
Visualization of Large-Scale Customer Satisfaction Surveys Using a Parallel Coordinate Tree
Satisfaction surveys are an important measurement tool in fields such as market research or human resources management. Serious studies consist of numerous questions and contain a...
Dominique Brodbeck, Luc Girardin
CBMS
2009
IEEE
14 years 26 days ago
On the storage, management and analysis of (multi) similarity for large scale protein structure datasets in the grid
Assessment of the (Multi) Similarity among a set of protein structures is achieved through an ensemble of protein structure comparison methods/algorithms. This leads to the genera...
Gianluigi Folino, Azhar Ali Shah, Natalio Krasnogo...
SC
2005
ACM
13 years 11 months ago
PerfExplorer: A Performance Data Mining Framework For Large-Scale Parallel Computing
Parallel applications running on high-end computer systems manifest a complexity of performance phenomena. Tools to observe parallel performance attempt to capture these phenomena...
Kevin A. Huck, Allen D. Malony
ICDCS
2006
IEEE
14 years 3 days ago
A Hierarchical Approach to Internet Distance Prediction
Internet distance prediction gives pair-wise latency information with limited measurements. Recent studies have revealed that the quality of existing prediction mechanisms from th...
Rongmei Zhang, Y. Charlie Hu, Xiaojun Lin, Sonia F...