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2007, ISBN: 9781402034329
eBooks, eBook Download (PDF), 2005, [PU: Springer Netherland], Seiten: 406, Springer Netherland, 2007
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Biological and Artificial Intelligence Environments ab 212.99 € als pdf eBook: . Aus dem Bereich: eBooks, Sachthemen & Ratgeber, Computer & Internet, Medien > Bücher nein eBook als pdf eB… Meer...
ISBN: 9781402034329
*Biological and Artificial Intelligence Environments* / pdf eBook für 213.99 € / Aus dem Bereich: eBooks, Sachthemen & Ratgeber, Computer & Internet Medien > Bücher nein eBook als pdf eBo… Meer...
ISBN: 9781402034329
Biological and Artificial Intelligence Environments: ab 213.99 € eBooks > Sachthemen & Ratgeber > Computer & Internet Springer-Verlag GmbH eBook als pdf, Springer-Verlag GmbH
ISBN: 9781402034329
Biological and Artificial Intelligence Environments: ab 212.99 € eBooks > Sachthemen & Ratgeber > Computer & Internet Springer-Verlag GmbH, Springer-Verlag GmbH
2007, ISBN: 9781402034329
eBooks, eBook Download (PDF), 2005, [PU: Springer Netherland], Seiten: 406, Springer Netherland, 2007
Bibliografische gegevens van het best passende boek
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Gedetalleerde informatie over het boek. - Biological and Artificial Intelligence Environments
EAN (ISBN-13): 9781402034329
ISBN (ISBN-10): 1402034326
Verschijningsjaar: 2007
Uitgever: Springer-Verlag GmbH
406 Bladzijden
Taal: eng/Englisch
Boek bevindt zich in het datenbestand sinds 2008-07-21T15:01:18+02:00 (Amsterdam)
Detailpagina laatst gewijzigd op 2024-01-15T18:25:38+01:00 (Amsterdam)
ISBN/EAN: 9781402034329
ISBN - alternatieve schrijfwijzen:
1-4020-3432-6, 978-1-4020-3432-9
alternatieve schrijfwijzen en verwante zoekwoorden:
Auteur van het boek: tagliaferri, ping, tägl, taglia, apollon, bruno roberto
Titel van het boek: artificial intelligence, art and environment
Gegevens van de uitgever
Auteur: Bruno Apolloni; Maria Marinaro; Roberto Tagliaferri
Titel: Biological and Artificial Intelligence Environments
Uitgeverij: Springer; Springer Netherland
406 Bladzijden
Verschijningsjaar: 2007-11-04
Dordrecht; NL
Taal: Engels
213,99 € (DE)
220,00 € (AT)
236,00 CHF (CH)
Available
X, 406 p.
EA; E107; eBook; Nonbooks, PBS / Informatik, EDV/Informatik; Künstliche Intelligenz; Verstehen; artificial intelligence; bioinformatics; classification; data mining; fuzzy; fuzzy set; intelligence; learning; machine learning; optimization; virtual reality; C; Artificial Intelligence; Computer Science; BB
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
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