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ESANN
2007
15 years 3 months ago
How to process uncertainty in machine learning?
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
Barbara Hammer, Thomas Villmann
BMCBI
2007
103views more  BMCBI 2007»
15 years 2 months ago
eQTL Viewer: visualizing how sequence variation affects genome-wide transcription
Background: Expression Quantitative Trait Locus (eQTL) mapping methods have been used to identify the genetic basis of gene expression variations. To map eQTL, thousands of expres...
Wei Zou, David L. Aylor, Zhao-Bang Zeng
137
Voted
BMCBI
2002
119views more  BMCBI 2002»
15 years 2 months ago
Microarray results: how accurate are they?
Background: DNA microarray technology is a powerful technique that was recently developed in order to analyze thousands of genes in a short time. Presently, microarrays, or chips,...
Ravi Kothapalli, Sean J. Yoder, Shrikant Mane, Tho...
IWINAC
2007
Springer
15 years 8 months ago
Brain Organization and Computation
Theories of how the brain computes can be differentiated in three general conceptions: the algorithmic approach, the neural information processing (neurocomputational) approach an...
Andreas Schierwagen
AOSD
2007
ACM
15 years 6 months ago
ATOLL: aspect-oriented toll system
Product line development places emphasis on quality attributes like understandability, maintainability, reusability and variability. Better modularization techniques like ...
Luis Daniel Benavides Navarro, Christa Schwanninge...