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LWA
2008
15 years 7 months ago
Pre analysis and clustering of uncertain data from manufacturing processes
With increasing complexity of manufacturing processes, the volume of data that has to be evaluated rises accordingly. The complexity and data volume make any kind of manual data a...
Peter Benjamin Volk, Martin Hahmann, Dirk Habich, ...
BMCBI
2007
125views more  BMCBI 2007»
15 years 6 months ago
Identification of discriminative characteristics for clusters from biologic data with InforBIO software
Background: There are a number of different methods for generation of trees and algorithms for phylogenetic analysis in the study of bacterial taxonomy. Genotypic information, suc...
Naoto Tanaka, Masataka Uchino, Satoru Miyazaki, Hi...
SSDBM
2008
IEEE
101views Database» more  SSDBM 2008»
16 years 18 days ago
Scalable Ubiquitous Data Access in Clustered Sensor Networks
Wireless sensor networks have drawn much attention due to their ability to monitor ecosystems and wildlife habitats. In such systems, the data should be intelligently collected to ...
Yueh-Hua Lee, Alex Thomo, Kui Wu, Valerie King
KES
2004
Springer
15 years 11 months ago
Semi-supervised Learning from Unbalanced Labeled Data - An Improvement
Abstract. We present a possibly great improvement while performing semisupervised learning tasks from training data sets when only a small fraction of the data pairs is labeled. In...
Te Ming Huang, Vojislav Kecman
CSDA
2008
91views more  CSDA 2008»
15 years 6 months ago
Model-based clustering for longitudinal data
A model-based clustering method is proposed for clustering individuals on the basis of measurements taken over time. Data variability is taken into account through non-linear hier...
Rolando De la Cruz-Mesía, Fernando A. Quint...