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BMCBI
2007
108views more  BMCBI 2007»
13 years 9 months ago
Design and implementation of a generalized laboratory data model
Background: Investigators in the biological sciences continue to exploit laboratory automation methods and have dramatically increased the rates at which they can generate data. I...
Michael C. Wendl, Scott Smith, Craig S. Pohl, Davi...
JCB
2002
160views more  JCB 2002»
13 years 8 months ago
Inference from Clustering with Application to Gene-Expression Microarrays
There are many algorithms to cluster sample data points based on nearness or a similarity measure. Often the implication is that points in different clusters come from different u...
Edward R. Dougherty, Junior Barrera, Marcel Brun, ...
IPSN
2007
Springer
14 years 3 months ago
A compact, high-speed, wearable sensor network for biomotion capture and interactive media
In this paper, we present a wireless sensor platform designed for processing multipoint human motion with low latency and high resolution. One application considered here is inter...
Ryan Aylward, Joseph A. Paradiso
EUROGP
2010
Springer
166views Optimization» more  EUROGP 2010»
14 years 2 months ago
Learning a Lot from Only a Little: Genetic Programming for Panel Segmentation on Sparse Sensory Evaluation Data
We describe a data mining framework that derives panelist information from sparse flavour survey data. One component of the framework executes genetic programming ensemble based s...
Katya Vladislavleva, Kalyan Veeramachaneni, Una-Ma...
AI
1998
Springer
13 years 8 months ago
Uncertainty Measures of Rough Set Prediction
The main statistics used in rough set data analysis, the approximation quality, is of limited value when there is a choice of competing models for predicting a decision variable. ...
Ivo Düntsch, Günther Gediga