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» Variable selection using neural-network models
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COMPLEXITY
2004
165views more  COMPLEXITY 2004»
14 years 9 months ago
Sex promotes gamete selection: A quantitative comparative study of features favoring the evolution of sex
: Explaining the maintenance of sexual reproduction remains one of the greatest challenges in biology. The theoretical oddity of sex is based on at least three advantages that asex...
Klaus Jaffe
JMLR
2008
100views more  JMLR 2008»
14 years 9 months ago
Hit Miss Networks with Applications to Instance Selection
In supervised learning, a training set consisting of labeled instances is used by a learning algorithm for generating a model (classifier) that is subsequently employed for decidi...
Elena Marchiori
IROS
2006
IEEE
121views Robotics» more  IROS 2006»
15 years 3 months ago
Planning and Acting in Uncertain Environments using Probabilistic Inference
— An important problem in robotics is planning and selecting actions for goal-directed behavior in noisy uncertain environments. The problem is typically addressed within the fra...
Deepak Verma, Rajesh P. N. Rao
UAI
2007
14 years 11 months ago
"I Can Name that Bayesian Network in Two Matrixes!"
The traditional approach to building Bayesian networks is to build the graphical structure using a graphical editor and then add probabilities using a separate spreadsheet for eac...
Russell Almond
BMCBI
2010
165views more  BMCBI 2010»
14 years 9 months ago
Multivariate meta-analysis of proteomics data from human prostate and colon tumours
Background: There is a vast need to find clinically applicable protein biomarkers as support in cancer diagnosis and tumour classification. In proteomics research, a number of met...
Lina Hultin Rosenberg, Bo Franzén, Gert Aue...