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» A Method for Dynamic Clustering of Data
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BMCBI
2007
178views more  BMCBI 2007»
15 years 6 months ago
SVM clustering
Background: Support Vector Machines (SVMs) provide a powerful method for classification (supervised learning). Use of SVMs for clustering (unsupervised learning) is now being cons...
Stephen Winters-Hilt, Sam Merat
GECCO
2010
Springer
189views Optimization» more  GECCO 2010»
15 years 11 months ago
Knowledge mining with genetic programming methods for variable selection in flavor design
This paper presents a novel approach for knowledge mining from a sparse and repeated measures dataset. Genetic programming based symbolic regression is employed to generate multip...
Katya Vladislavleva, Kalyan Veeramachaneni, Matt B...
CCGRID
2007
IEEE
16 years 29 days ago
Hierarchical Replication Control in a Global File System
We develop a consistent mutable replication extension for NFSv4 tuned to meet the rigorous demands of largescale data sharing in global collaborations. The system uses a hierarchi...
Jiaying Zhang, Peter Honeyman
SSPR
2010
Springer
15 years 5 months ago
Non-parametric Mixture Models for Clustering
Mixture models have been widely used for data clustering. However, commonly used mixture models are generally of a parametric form (e.g., mixture of Gaussian distributions or GMM),...
Pavan Kumar Mallapragada, Rong Jin, Anil K. Jain
145
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ASPDAC
2006
ACM
158views Hardware» more  ASPDAC 2006»
16 years 18 days ago
Analysis of scratch-pad and data-cache performance using statistical methods
— An effectively designed and efficiently used memory hierarchy, composed of scratch-pads or cache, is seen today as the key to obtaining energy and performance gains in data-do...
Javed Absar, Francky Catthoor