- Format
- Häftad (Paperback / softback)
- Språk
- Engelska
- Antal sidor
- 406
- Utgivningsdatum
- 2010-10-19
- Upplaga
- Softcover reprint of hardcover 1st ed. 2005
- Förlag
- Springer
- Medarbetare
- Apolloni, Bruno (ed.), Tagliaferri, Roberto (ed.), Marinaro, Maria (ed.)
- Illustrationer
- X, 406 p.
- Dimensioner
- 234 x 156 x 22 mm
- Vikt
- Antal komponenter
- 1
- Komponenter
- 1 Paperback / softback
- ISBN
- 9789048168637
- 581 g
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Innehållsförteckning
Pre-WIRN workshop on Computational Intelligence Methods for Bioinformatics and Biostatistics (CIBB): 1 ProGenGrid: A Grid Framework for Bioinformatics, G. Aloisio et al.; 2 A preliminary investigation on connecting genotype to oral cancer development through XCS, 2 F. Baronti et al.; 3 Mass Spectrometry Data Analysis for Early Detection of Inherited Breast Cancer, F. Baudi, M. Cannataro et al; 4 Feature Selection combined with random subspace ensemble for gene expression based diagnosis of malignancies, A. Bertoni et al.; 5 Pruning the Nodule Candidate Set in Postero Anterior Chest Radiographs, P. Campadelli, E. Casiraghi; 6 Protein Structure Assembly from Knowledge of beta-sheet Motifs and Secondary Structure, A. Ceroni et al.; 7 Analysis of Oligonucleotide Microarray Images using a fuzzy sets Approach in HLA Typing, G.B. Ferrara et al.; 8 Combinatorial and Machine Learning Approaches in Clustering Microarray Data, S. Pozzi, I. Zoppis; 9 Gene expression data modelling and validation of gene selection methods, F. Ruffino; 10 Mining Yeast Gene Microaray Data with Latent Variable Models, A. Staiano et al.; 11 Recent Applications of Neural Networks in Bioinformatics, M.J. Wood, J.D. Hirst; 12 An Algorithm for Reducing the Number of Support Vectors, D. Anguita et al.; Pre-WIRN workshop on Computational Intelligence on Hardware: Algorithms, Implementations and Applications (CIHAIA): 13 Genetic Design of linear block error-correcting codes, A. Barbieri et al.; 14 Neural hardware based on kernel methods for industrial and scientific applications, A. Boni et al.; 15 Statistical Learning for Parton Identification, D. Cauz et al.; 16 Time-Varying Signals Classification Using a Liquid State Machine, A. Chella, R. Rizzo; 17 FPGA Based Statistical Data Mining Processor, E. Pasero et al.; 18 Neural Classification of HEP Experimental Data, S. Vitabile et al.; WIRN Regular Sessions- Architectures and Algorithms; Models; Applications.