Biological and Artificial Intelligence Environments Book

1	ProGenGrid : a grid framework for bioinformatics	1
2	A preliminary investigation on connecting genotype to oral cancer development through XCS	11
3	Mass spectrometry data analysis for early detection of inherited breast cancer	21
4	Feature selection combined with random subspace ensemble for gene expression based diagnosis of malignancies	29
5	Pruning the nodule candidate set in postero anterior chest radiographs	37
6	Protein structure assembly from knowledge of [beta]-sheet motifs and secondary structure	45
7	Analysis of oligonucleotide microarray images using a fuzzy sets approach in HLA typing	53
8	Combinatorial and machine learning approaches in clustering microarray data	63
9	Gene expression data modeling and validation of gene selection methods	73
10	Mining yeast gene microarray data with latent variable models	81
11	Recent applications of neural networks in bioinformatics	91
12	An algorithm for reducing the number of support vectors	99
13	Genetic design of linear block error-correcting codes	107
14	Neural hardware based on kernel methods for industrial and scientific applications	117
15	Statistical learning for parton identification	125
16	Time-varying signals classification using a liquid state machine	133
17	FPGA based statistical data mining processor	141
18	Neural classification of HEP experimental data	149
19	The random neural network model for the on-line multicast problem	157
20	ERAF : A R package for regression and forecasting	165
21	Novel pheromone updating strategy for speeding up ACO applied to VRP	175
22	Inducing communication protocols from conversations in a multi agent system	183
23	WordNet and SemiDiscrete decomposition for sub-symbolic representation of words	191
24	The Hopfield and Kohonen networks : an in vivo test	199
25	Support vector regression with a generalized quadratic loss	209
26	A flexible ICA approach to a novel BSS convolutive nonlinear problem : preliminary results	217
27	Computing confidence intervals for the risk of a SVM classifier through algorithmic inference	225
28	Learning continuous functions through a new linear regression method	235
29	A novel kernel method for clustering	245
30	Genetic Monte Carlo Markov chains	251
31	Consistency of empirical risk minimization for unbounded loss functions	261
32	A probabilistic PCA clustering approach to the SVD estimate of signal subspaces	271
33	Fast dominant-set clustering	281
34	Neural network classification using error entropy minimization	291
35	An ICA approach to unsupervised change deection in multispectral images	299
36	A comparison of ICA algorithms in biomedical signal processing	313
37	Time-frequency analysis for characterizing EMG signals during fMRI acquisitions	321
38	A neural algorithm for object positioning in 3D space using optoelectronic system	329
39	Human visual system modelling for real-time salt and pepper noise removal	337
40	Virtual sensors to support the monitoring of cultural heritage damage	343
41	A computer aided analysis on digital images	351
42	Recursive neural networks for the classification of vehicles in image sequences	359
43	Neural network in modeling glucose-insulin behavior	367
44	Assessing the reliability of communication networks through machine learning techniques	375
45	Dynamical reconstruction and chaos for disruption prediction in Tokamak reactors	383