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» A Novel Hybrid Neural Network for Data Clustering
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IJCNN
2006
IEEE
15 years 5 months ago
Semi-supervised feature selection via multiobjective optimization
Abstract— In previous work, we have shown that both unsupervised feature selection and the semi-supervised clustering problem can be usefully formulated as multiobjective optimiz...
Julia Handl, Joshua D. Knowles
IJCNN
2006
IEEE
15 years 5 months ago
Generic Prioritization Framework for Target Selection and Instrument Usage for Reconnaissance Mission Autonomy
—A generic prioritization framework is introduced for addressing the problem of automated prioritization of target selection and instrument usage, applicable to Earth and Space r...
Wolfgang Fink
GECCO
2010
Springer
191views Optimization» more  GECCO 2010»
15 years 4 months ago
Initialization parameter sweep in ATHENA: optimizing neural networks for detecting gene-gene interactions in the presence of sma
Recent advances in genotyping technology have led to the generation of an enormous quantity of genetic data. Traditional methods of statistical analysis have proved insufficient i...
Emily Rose Holzinger, Carrie C. Buchanan, Scott M....
RECOMB
2006
Springer
16 years 5 days ago
Identification and Evaluation of Functional Modules in Gene Co-expression Networks
Abstract. Identifying gene functional modules is an important step towards elucidating gene functions at a global scale. In this paper, we introduce a simple method to construct ge...
Jianhua Ruan, Weixiong Zhang
PAKDD
2000
ACM
100views Data Mining» more  PAKDD 2000»
15 years 3 months ago
Discovery of Relevant Weights by Minimizing Cross-Validation Error
In order to discover relevant weights of neural networks, this paper proposes a novel method to learn a distinct squared penalty factor for each weight as a minimization problem ov...
Kazumi Saito, Ryohei Nakano