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» Memetic Algorithms for Feature Selection on Microarray Data
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NIPS
2004
15 years 6 months ago
On Semi-Supervised Classification
A graph-based prior is proposed for parametric semi-supervised classification. The prior utilizes both labelled and unlabelled data; it also integrates features from multiple view...
Balaji Krishnapuram, David Williams, Ya Xue, Alexa...
BMCBI
2007
217views more  BMCBI 2007»
15 years 4 months ago
OntologyWidget - a reusable, embeddable widget for easily locating ontology terms
Background: Biomedical ontologies are being widely used to annotate biological data in a computer-accessible, consistent and well-defined manner. However, due to their size and co...
Catherine Beauheim, Farrell Wymore, Michael Nitzbe...
144
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ICML
2004
IEEE
16 years 5 months ago
Predictive automatic relevance determination by expectation propagation
In many real-world classification problems the input contains a large number of potentially irrelevant features. This paper proposes a new Bayesian framework for determining the r...
Yuan (Alan) Qi, Thomas P. Minka, Rosalind W. Picar...
GECCO
2005
Springer
158views Optimization» more  GECCO 2005»
15 years 10 months ago
Constructive induction and genetic algorithms for learning concepts with complex interaction
Constructive Induction is the process of transforming the original representation of hard concepts with complex interaction into a representation that highlights regularities. Mos...
Leila Shila Shafti, Eduardo Pérez
GECCO
2007
Springer
163views Optimization» more  GECCO 2007»
15 years 10 months ago
Exploring medical data using visual spaces with genetic programming and implicit functional mappings
Two medical data sets (Breast cancer and Colon cancer) are investigated within a visual data mining paradigm through the unsupervised construction of virtual reality spaces using ...
Julio J. Valdés, Robert Orchard, Alan J. Ba...