Biological and Artificial Intelligence Environments by Bruno Apolloni Hardcover | Indigo Chapters - nieuw boek

EAN (ISBN-13): 9781402034312
ISBN (ISBN-10): 1402034318
Gebonden uitgave
pocket book
Verschijningsjaar: 2005
Uitgever: SPRINGER NATURE

Boek bevindt zich in het datenbestand sinds 2007-05-27T07:34:21+02:00 (Amsterdam)
Detailpagina laatst gewijzigd op 2023-10-18T18:38:54+02:00 (Amsterdam)
ISBN/EAN: 9781402034312

ISBN - alternatieve schrijfwijzen:
1-4020-3431-8, 978-1-4020-3431-2
alternatieve schrijfwijzen en verwante zoekwoorden:
Auteur van het boek: roberto bruno, tagliaferri, taglia, apollon, apolloni
Titel van het boek: artificial intelligence, environments, art and environment

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Gegevens van de uitgever

Auteur: Bruno Apolloni; Maria Marinaro; Roberto Tagliaferri
Titel: Biological and Artificial Intelligence Environments
Uitgeverij: Springer; Springer Netherland
406 Bladzijden
Verschijningsjaar: 2006-02-02
Dordrecht; NL
Taal: Engels
213,99 € (DE)
219,99 € (AT)
236,00 CHF (CH)
Available
X, 406 p.

BB; Hardcover, Softcover / Informatik, EDV/Informatik; Künstliche Intelligenz; Verstehen; artificial intelligence; bioinformatics; classification; data mining; fuzzy; fuzzy set; intelligence; learning; machine learning; optimization; virtual reality; Artificial Intelligence; EA; BC

Pre-Wirn workshop on Computational Intelligence Methods for Bioinformatics and Bistatistics (CIBB).- Progengrid: A Grid Framework for Bioinformatics.- A Preliminary Investigation on Connecting Genotype to Oral Cancer Development through XCS.- Mass Spectrometry Data Analysis for Early Detection of Inherited Breast Cancer.- Feature Selection Combined with Random Subspace Ensemble for Gene Expression Based Diagnosis of Malignancies.- Pruning the Nodule Candidate Set in Postero Anterior Chest Radiographs.- Protein Structure Assembly from Knowledge of ?-Sheet Motifs and Secondary Structure.- Analysis of Oligonucleotide Microarray Images Using a Fuzzy Sets Approach in HLA Typing.- Combinatorial and Machine Learning Approaches in Clustering Microarray Data.- Gene Expression Data Modeling and Validation of Gene Selection Methods.- Mining Yeast Gene Microarray Data with Latent Variable Models.- Recent Applications of Neural Networks in Bioinformatics.- Pre-WIRN workshop on Computational Intelligence on Hardware: Algorithms, Implementations and Applications (CIHAIA).- An Algorithm for Reducing the Number of Support Vectors.- Genetic Design of Linear Block Error-Correcting Codes.- Neural Hardware Based on Kernel Methods for Industrial and Scientific Applications.- Stratistical Learning for Parton Identification.- Time-Varying Signals Classification Using a Liquid State Machine.- FPGA Based Statistical Data Mining Processor.- Neural Classification of HEP Experimental Data.- WIRN Regular Sessions Architectures and Algorithms.- The Random Neural Network Model for the On-Line Multicast Problem.- ERAF: A R Package for Regression and Forecasting.- Novel Pheromone Updating Strategy for Speeding up ACO Applied to VRP.- Inducing Communication Protocols from Conversations in a Multi AgentSystem.- Wordnet and Semidiscrete Decomposition for Sub-Symbolic Representation of Words.- The Hopfield and Kohonen Networks: an in Vivo Test.- Support Vector Regression with a Generalized Quadratic Loss.- A Flexible ICA Approach to a Novel BSS Convolutive Nonlinear Problem: Preliminary Results.- Models.- Computing Confidence Intervals for the Risk of A SVM Classifier through Algorithmic Inference.- Learning Continuous Functions through a New Linear Regression Method.- A Novel Kernel Method for Clustering.- Genetic Monte Carlo Markov Chains.- Consistency of Empirical Risk Minimization for Unbounded Loss Functions.- A Probabilistic PCA Clustering Approach to the SVD Estimate of Signal Subspaces.- Fast Dominant-Set Clustering.- Neural Network Classification Using Error Entropy Minimization.- Applications.- An ICA Approach to Unsupervised Change Detection in Multispectral Images.- A Comparison of ICA Algorithms in Biomedical Signal Processing.- Time-Frequency Analysis for Characterizing EMG Signals During fMRI Acquisitions.- A Neural Algorithm for Object Positioning in 3D Space Using Optoelectronic System.- Human Visual System Modelling for Real-Time Salt and Pepper Noise Removal.- Virtual Sensors to Support the Monitoring of Cultural Heritage Damage.- A Computer Aided Analysis on Digital Images.- Recursive Neural Networks for the Classification of Vehicles in Image Sequences.- Neural Network in Modeling Glucose-Insulin Behavior.- Assessing the Reliability of Communication Networks Through Maghine Learning Techniques.- Dynamical Reconstruction and Chaos for Disruption Prediction in Tokamak Reactors.
A fresh look on the state of the art of the research in Neural networks and related fields on the part of the computational intelligence A special flavoured perspective of the above research from a 15 year old Society on Neural Networks A special eye through bioinformatics from computational intelligence perspective Up to date issues on hardware for computational intelligence