Biological And Artificial Intelligence Environments

by Apolloni, Bruno; Marinaro, Maria; Tagliaferri, Roberto

• ISBN13: 9781402034312
• ISBN10: 1402034318
• Format: Hardcover
• Copyright: 2006-07-30
• Publisher: Kluwer Academic Pub
• More Book Details
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Summary

The book reports the proceedings of the 15th Italian workshop on neural networks issued by the Italian Society on Neural Networks SIREN. The longevity recipe of this conference stands in three main points that normally renders the reading of these proceedings so interesting as appealing. 1. The topics of the neural networks is considered an attraction pole for a set of researches centered on the inherent paradigm of the neural networks, rather than on a specific tool exclusively. Thus, the subsymbolic management of the data information content constitutes the key feature of papers in various fields such as Pattern Recognition, Stochastic Optimization, Learning, Granular Computing, and so on, with a special bias toward bioinformatics operational applications. An excerpt of all these matters may be found in the book. 2. Though managed at domestic level, the conference attracts contributions from foreign researchers as well, so that in the book the reader may capture the flavor of the state of the art in the international community. 3. The conference is a meeting of friends as well. Thus the papers generally reflect a relaxed atmosphere where researchers meet to generously exchange their thought and explain their actual results in view of a common cultural growing of the community.

Table of Contents

Preface	vii
Acknowledgments	viii
Pre-Wirn workshop on Computational Intelligence Methods for Bioinformatics and Bistatistics (CIBB)
1 G. Aloisio, M. Cafaro, S. Fiore, M. Mirto, ProGenGrid: A Grid Framework for Bioinformatics	1	(10)
2 F. Baronti, V. Maggini, A. Micheli, A. Passaro, A. Rossi, A. Starita, A preliminary investigation on connecting genotype to oral cancer development through XCS	11	(10)
3 F. Baudi, Mass Spectrometry Data Analysis for Early Detection of Inherited Breast Cancer	21	(8)
4 A. Bertoni, R. Folgieri, G. Valentini, Feature Selection combined with random subspace ensemble for gene expression based diagnosis of malignancies	29	(8)
5 P. Campadelli, E. Casiraghi, Pruning the Nodule Candidate Set in Postero Anterior Chest Radiographs	37	(8)
6 A. Ceroni, P. Frasconi, A. Vullo, Protein Structure Assembly from Knowledge of (3-sheet Motifs and Secondary Structure	45	(8)
7 G.B. Ferrara, L. Delfino, F. Masulli, S. Rovetta, R. Sensi, Analysis of Oligonucleotide Microarray Images using a fuzzy sets Approach in HLA Typing	53	(10)
8 S. Pozzi, I. Zoppis, G. Maury Combinatorial and Machine Learning Approaches in Clustering Microarray Data	63	(10)
9 F. Ruffin,, Gene expression data modeling and validation of gene selection methods	73	(8)
10 A. Staiano et al., Mining Yeast Gene Microarray Data with Latent Variable Models	81	(10)
11 M.J. Wood, J. D. Hirst, Recent Applications of Neural Networks in Bioinformatics	91	(8)
Pre-WIRN workshop on Computational Intelligence on Hardware: Algorithms, Implementations and Applications (CIHAIA)
12 D. Anguita, S. Ridella, F. Rivieccio, An Algorithm for Reducing the Number of Support Vectors	99	(8)
13 A. Barbieri, S. Cagnoni, G. Colavolpe, Genetic Design of linear block error-correcting codes	107	(10)
14 A. Boni, I. Lazzizzera, A. Zorat, Neural hardware based on kernel methods for industrial and scientific applications	117	(8)
15 D. Cauz, M. Giordani, G. Pauletta, M. Rossi, L.Santi, Statistical Learning for Parton Identification	125	(8)
16 A. Chella, R. Rizzo, Time-Varying Signals Classification Using a Liquid State Machine	133	(8)
17 E. Pasero, W. Moniaci, T. Mendl, FPGA Based Statistical Data Mining Processor	141	(8)
18 S. Vitabile et al., Neural Classification of HEP Experimental Data	149	(8)
WIRN Regular Sessions Architectures and Algorithms
19 G. Aiello, et al., The Random Neural Network Model for the On-line Multicast Problem	157	(8)
20 M. Filippone, F. Masulli, S. Rovetta, ERAF: A R Package for Regression and Forecasting	165	(10)
21 T. Loreto, G. Martinelli, Novel Pheromone Updating Strategy for Speeding up ACO Applied to VRP	175	(8)
22 N.N.B. Abdullah, M. Liquire, S.A. Cerri, Inducing Communication Protocols from Conversations in A Multi Agent System	183	(8)
23 G. Pilato, G. Vassallo, S. Gaglio, WordNet and SemiDiscrete Decomposition for Sub-symbolic Representation of Words	191	(8)
24 R. Pizzi, A. Fantasia, D. Rossetti, G. Cino, F. Gelain and A. Vescovi, The Hopfield and Kohonen Networks: An in vivo Test	199	(10)
25 F. Portera, A. Sperduti, Support Vector Regression with a Generalized Quadratic Loss	209	(8)
26 D. Vigliano, R. Parisi, A. Uncini, A Flexible ICA Approach to a Novel BSS Convolutive Nonlinear Problem: Preliminary Results	217	(8)
Models
27 B. Apolloni, S. Bassis, S. Gaito, D. Malchiodi, A. Minora, Computing Confidence Intervals for the Risk of a SVM Classifier through Algorithmic Inference	225	(10)
28 B. Apolloni, S. Bassis, S. Gaito, D. Iannizzi, D. Malchiodi, Learning Continuous Functions through a New Linear Regression Method	235	(10)
29 F. Camastra, A. Verri, A Novel Kernel Method for Clustering	245	(6)
30 S. Hajek, Genetic Monte Carlo Markov Chains	251	(10)
31 M. Muselli, F. Ruffino, Consistency of Empirical Risk Minimization for Unbounded Loss Functions	261	(10)
32 M. Panella, G. Grisanti, A. Rizzi, A Probabilistic PCA Clustering Approach to the SVD Estimate of Signal Subspaces	271	(10)
33 M. Pavan, M. Pelillo, Fast Dominant-Set Clustering	281	(10)
34 J.M. Santos, L.A. Alexandre, J.M. de Sá, Neural Network Classification Using Error Entropy Minimization	291	(8)
Applications
35 G. Antoniol, M. Ceccarelli, P. Petrillo, A. Petrosino, An ICA Approach to Unsupervised Change Deection in Multispectral Images	299	(14)
36 B. Azzerboni, M. Ipsale, F. La Foresta, N. Mammone, F.C. Morabito, A Comparison of ICA Algorithms in Biomedical Signal Processing	313	(8)
37 B. Azzerboni, M. Ipsale, M. Carpentieri, F. La Foresta, Time-Frequency Analysis for Characterizing EMG Signals During fMRI Acquisitions	321	(8)
38 I. Frosio, G. Ferrigno, N.A. Borghese, A Neural Algorithm for Object Positioning in 3D Space Using Optoelectronic System	329	(8)
39 I. Frosio, N.A. Borghese, Human Visual System Modelling for Real-Time Salt and Pepper Noise Removal	337	(6)
40 U. Maniscalco, Virtual Sensors to Support the Monitoring of Cultural Heritage Damage	343	(8)
41 G.L. Masala, A Computer Aided Analysis on Digital Images	351	(8)
42 G. Monfardini, Recursive Neural Networks for the Classification of Vehicles in Image Sequences	359	(8)
43 M. Panella, F. Barcellona, A. Bersani, Neural Network in Modeling Glucose-Insulin Behavior	367	(8)
44 C.M. Rocco, M. Muselli, Assessing the Reliability of Communication Networks Through Machine Learning Techniques	375	(8)
45 M. Cacciola, D. Costantino, A. Greco, F.C. Morabito, M. Versaci, Dynamical Reconstruction and Chaos for Disruption Prediction in Tokamak Reactors	383	(8)
List of Contributors	391