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BMCBI
2010
113views more  BMCBI 2010»
13 years 9 months ago
Probabilistic Principal Component Analysis for Metabolomic Data
Background: Data from metabolomic studies are typically complex and high-dimensional. Principal component analysis (PCA) is currently the most widely used statistical technique fo...
Gift Nyamundanda, Lorraine Brennan, Isobel Claire ...
ALGORITHMICA
2011
13 years 1 months ago
Algorithms for Marketing-Mix Optimization
Algorithms for determining quality/cost/price tradeoffs in saturated markets are consid-3 ered. A product is modeled by d real-valued qualities whose sum determines the unit cost ...
Joachim Gudmundsson, Pat Morin, Michiel H. M. Smid
BIOINFORMATICS
2007
137views more  BIOINFORMATICS 2007»
13 years 10 months ago
Annotation-based distance measures for patient subgroup discovery in clinical microarray studies
: Background Clustering algorithms are widely used in the analysis of microarray data. In clinical studies, they are often applied to find groups of co-regulated genes. Clustering...
Claudio Lottaz, Joern Toedling, Rainer Spang
CSL
2006
Springer
13 years 9 months ago
A study in machine learning from imbalanced data for sentence boundary detection in speech
Enriching speech recognition output with sentence boundaries improves its human readability and enables further processing by downstream language processing modules. We have const...
Yang Liu, Nitesh V. Chawla, Mary P. Harper, Elizab...
ESANN
2006
13 years 11 months ago
Margin based Active Learning for LVQ Networks
In this article, we extend a local prototype-based learning model by active learning, which gives the learner the capability to select training samples during the model adaptation...
Frank-Michael Schleif, Barbara Hammer, Thomas Vill...