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» A Method for Dynamic Clustering of Data
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BMCBI
2007
178views more  BMCBI 2007»
15 years 7 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»
16 years 20 hour 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 1 months 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
ASPDAC
2006
ACM
158views Hardware» more  ASPDAC 2006»
16 years 1 months 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