Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
Artificial Neural Networks - ICANN 2006 [[electronic resource] ] : 16th International Conference, Athens, Greece, September 10-14, 2006, Proceedings, Part I / / edited by Stefanos Kollias, Andreas Stafylopatis, Wlodzislaw Duch, Erkki Oja
| Artificial Neural Networks - ICANN 2006 [[electronic resource] ] : 16th International Conference, Athens, Greece, September 10-14, 2006, Proceedings, Part I / / edited by Stefanos Kollias, Andreas Stafylopatis, Wlodzislaw Duch, Erkki Oja |
| Edizione | [1st ed. 2006.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2006 |
| Descrizione fisica | 1 online resource (XXXIV, 1008 p.) |
| Disciplina | 006.3/2 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Artificial intelligence
Computer science Pattern recognition systems Application software Database management Neurosciences Artificial Intelligence Theory of Computation Automated Pattern Recognition Computer and Information Systems Applications Database Management Neuroscience |
| ISBN | 3-540-38627-0 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Feature Selection and Dimension Reduction for Regression (Special Session) -- Learning Algorithms (I) -- Learning Algorithms (II) -- Advances in Neural Network Learning Methods (Special Session) -- Ensemble Learning -- Learning Random Neural Networks and Stochastic Agents (Special Session) -- Hybrid Architectures -- Self Organization -- Connectionist Cognitive Science -- Cognitive Machines (Special Session) -- Neural Dynamics and Complex Systems -- Computational Neuroscience -- Neural Control, Reinforcement Learning and Robotics Applications -- Robotics, Control, Planning -- Bio-inspired Neural Network On-Chip Implementation and Applications (Special session). |
| Record Nr. | UNISA-996466166503316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2006 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Artificial Neural Networks - ICANN 2006 [[electronic resource] ] : 16th International Conference, Athens, Greece, September 10-14, 2006, Proceedings, Part II / / edited by Stefanos Kollias, Andreas Stafylopatis, Wlodzislaw Duch, Erkki Oja
| Artificial Neural Networks - ICANN 2006 [[electronic resource] ] : 16th International Conference, Athens, Greece, September 10-14, 2006, Proceedings, Part II / / edited by Stefanos Kollias, Andreas Stafylopatis, Wlodzislaw Duch, Erkki Oja |
| Edizione | [1st ed. 2006.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2006 |
| Descrizione fisica | 1 online resource (XXXIV, 1028 p.) |
| Disciplina | 004.0151 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Computer science
Artificial intelligence Pattern recognition systems Application software Database management Neurosciences Theory of Computation Artificial Intelligence Automated Pattern Recognition Computer and Information Systems Applications Database Management Neuroscience |
| ISBN | 3-540-38873-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Neural Networks, Semantic Web Technologies and Multimedia Analysis (Special Session) -- Bridging the Semantic Gap in Multimedia Machine Learning Approaches (Special Session) -- Signal and Time Series Processing (I) -- Signal and Time Series Processing (II) -- Data Analysis (I) -- Data Analysis (II) -- Pattern Recognition -- Visual Attention Algorithms and Architectures for Perceptional Understanding and Video Coding (Special Session) -- Vision and Image Processing (I) -- Vision and Image Processing (II) -- Computational Finance and Economics (Special Session) -- Neural Computing in Energy Engineering (Special Session) -- Applications to Biomedicine and Bioinformatics -- Applications to Security and Market Analysis -- Real World Applications (I) -- Real World Applications (II). |
| Record Nr. | UNISA-996466164303316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2006 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Artificial Neural Networks and Neural Information Processing — ICANN/ICONIP 2003 [[electronic resource] ] : Joint International Conference ICANN/ICONIP 2003, Istanbul, Turkey, June 26–29, 2003, Proceedings / / edited by Okyay Kaynak, Ethem Alpaydin, Erkki Oja, Lei Xu
| Artificial Neural Networks and Neural Information Processing — ICANN/ICONIP 2003 [[electronic resource] ] : Joint International Conference ICANN/ICONIP 2003, Istanbul, Turkey, June 26–29, 2003, Proceedings / / edited by Okyay Kaynak, Ethem Alpaydin, Erkki Oja, Lei Xu |
| Edizione | [1st ed. 2003.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2003 |
| Descrizione fisica | 1 online resource (XLIV, 1194 p. 909 illus.) |
| Disciplina | 006.3/2 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Computers
Computer communication systems Special purpose computers Database management Artificial intelligence Computation by Abstract Devices Science, Humanities and Social Sciences, multidisciplinary Computer Communication Networks Special Purpose and Application-Based Systems Database Management Artificial Intelligence |
| ISBN | 3-540-44989-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Learning Algorithms -- SVM and Kernel Methods -- Statistical Data Analysis -- Pattern Recognition -- Vision -- Speech Recognition -- Robotics and Control -- Signal Processing -- Time-Series Prediction -- Intelligent and Hybrid Systems -- Neural Network Hardware -- Cognitive Science -- Computational Neuroscience -- Special Sessions -- Complex-Valued Neural Networks: Theories and Applications -- Computational Intelligence and Applications -- Emotional Recognition -- Neural Networks for Bio-informatics Applications. |
| Record Nr. | UNISA-996466159603316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2003 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Artificial Neural Networks and Neural Information Processing — ICANN/ICONIP 2003 : Joint International Conference ICANN/ICONIP 2003, Istanbul, Turkey, June 26–29, 2003, Proceedings / / edited by Okyay Kaynak, Ethem Alpaydin, Erkki Oja, Lei Xu
| Artificial Neural Networks and Neural Information Processing — ICANN/ICONIP 2003 : Joint International Conference ICANN/ICONIP 2003, Istanbul, Turkey, June 26–29, 2003, Proceedings / / edited by Okyay Kaynak, Ethem Alpaydin, Erkki Oja, Lei Xu |
| Edizione | [1st ed. 2003.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2003 |
| Descrizione fisica | 1 online resource (XLIV, 1194 p. 909 illus.) |
| Disciplina | 006.3/2 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Computers
Computer communication systems Special purpose computers Database management Artificial intelligence Computation by Abstract Devices Science, Humanities and Social Sciences, multidisciplinary Computer Communication Networks Special Purpose and Application-Based Systems Database Management Artificial Intelligence |
| ISBN | 3-540-44989-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Learning Algorithms -- SVM and Kernel Methods -- Statistical Data Analysis -- Pattern Recognition -- Vision -- Speech Recognition -- Robotics and Control -- Signal Processing -- Time-Series Prediction -- Intelligent and Hybrid Systems -- Neural Network Hardware -- Cognitive Science -- Computational Neuroscience -- Special Sessions -- Complex-Valued Neural Networks: Theories and Applications -- Computational Intelligence and Applications -- Emotional Recognition -- Neural Networks for Bio-informatics Applications. |
| Record Nr. | UNINA-9910144049603321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2003 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Artificial Neural Networks: Biological Inspirations – ICANN 2005 [[electronic resource] ] : 15th International Conference, Warsaw, Poland, September 11-15, 2005, Proceedings, Part I / / edited by Wlodzislaw Duch, Erkki Oja, Slawomir Zadrozny
| Artificial Neural Networks: Biological Inspirations – ICANN 2005 [[electronic resource] ] : 15th International Conference, Warsaw, Poland, September 11-15, 2005, Proceedings, Part I / / edited by Wlodzislaw Duch, Erkki Oja, Slawomir Zadrozny |
| Edizione | [1st ed. 2005.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2005 |
| Descrizione fisica | 1 online resource (XXXII, 708 p.) |
| Disciplina | 006.3/2 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Artificial intelligence
Computer science Pattern recognition systems Application software Database management Neurosciences Artificial Intelligence Theory of Computation Automated Pattern Recognition Computer and Information Systems Applications Database Management Neuroscience |
| ISBN | 3-540-28754-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Modeling the Brain and Cognitive Functions -- Special Session: The Development of Cognitive Powers in Embodied Systems -- Spiking Neural Networks -- Associative Memory Models -- Models of Biological Functions -- Special Session: Projects in the Area of NeuroIT -- Evolutionary and Other Biological Inspirations -- Self-organizing Maps and Their Applications -- Computer Vision -- Face Recognition and Detection -- Sound and Speech Recognition -- Bioinformatics -- Biomedical Applications -- Special Session: Information-Theoretic Concepts in Biomedical Data Analysis. |
| Record Nr. | UNISA-996465381603316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2005 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Artificial Neural Networks: Formal Models and Their Applications – ICANN 2005 [[electronic resource] ] : 15th International Conference, Warsaw, Poland, September 11-15, 2005, Proceedings, Part II / / edited by Wlodzislaw Duch, Erkki Oja, Slawomir Zadrozny
| Artificial Neural Networks: Formal Models and Their Applications – ICANN 2005 [[electronic resource] ] : 15th International Conference, Warsaw, Poland, September 11-15, 2005, Proceedings, Part II / / edited by Wlodzislaw Duch, Erkki Oja, Slawomir Zadrozny |
| Edizione | [1st ed. 2005.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2005 |
| Descrizione fisica | 1 online resource (XXXII, 1045 p.) |
| Disciplina | 006.3 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Artificial intelligence
Computer science Pattern recognition systems Application software Database management Neurosciences Artificial Intelligence Theory of Computation Automated Pattern Recognition Computer and Information Systems Applications Database Management Neuroscience |
| ISBN | 3-540-28756-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | New Neural Network Models -- Supervised Learning Algorithms -- Ensemble-Based Learning -- Unsupervised Learning -- Recurrent Neural Networks -- Reinforcement Learning -- Bayesian Approaches to Learning -- Learning Theory -- Artificial Neural Networks for System Modeling, Decision Making, Optimalization and Control -- Special Session: Knowledge Extraction from Neural Networks Organizer and Chair: D. A. Elizondo -- Temporal Data Analysis, Prediction and Forecasting -- Support Vector Machines and Kernel-Based Methods -- Soft Computing Methods for Data Representation, Analysis and Processing -- Special Session: Data Fusion for Industrial, Medical and Environmental Applications Organizers and Chairs: D. Mandic, D. Obradovic -- Special Session: Non-linear Predictive Models for Speech Processing Organizers and Chairs: M. Chetouani, M. Faundez-Zanuy, B. Gas, A. Hussain -- Special Session: Intelligent Multimedia and Semantics Organizers and Chairs: Y. Avrithis, S. Kollias -- Applications to Natural Language Proceesing -- Various Applications -- Special Session: Computational Intelligence in Games Organizer and Chair: J. Ma´ndziuk -- Issues in Hardware Implementation -- Erratum. |
| Record Nr. | UNISA-996465382503316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2005 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Hybrid Artificial Intelligence Systems [[electronic resource] ] : 4th International Conference, HAIS 2009, Salamanca, Spain, June 10-12, 2009, Proceedings / / edited by Emilio Corchado, Xindong Wu, Erkki Oja, Bruno Baruque
| Hybrid Artificial Intelligence Systems [[electronic resource] ] : 4th International Conference, HAIS 2009, Salamanca, Spain, June 10-12, 2009, Proceedings / / edited by Emilio Corchado, Xindong Wu, Erkki Oja, Bruno Baruque |
| Edizione | [1st ed. 2009.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2009 |
| Descrizione fisica | 1 online resource (XXII, 715 p.) |
| Disciplina | 005.11 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Computer programming
Data mining Computer engineering Artificial intelligence Application software Algorithms Programming Techniques Data Mining and Knowledge Discovery Computer Engineering Artificial Intelligence Information Systems Applications (incl. Internet) Algorithm Analysis and Problem Complexity |
| Soggetto genere / forma |
Kongress.
Salamanca (2009) |
| ISBN | 3-642-02319-3 |
| Classificazione |
DAT 700f
SS 4800 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Agents and Multi Agents Systems -- HAIS Applications -- Cluster Analysis -- Data Mining and Knowledge Discovery -- Evolutionary Computation -- Learning Algorithms -- Special Session. |
| Record Nr. | UNISA-996465407203316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2009 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Independent component analysis / / Aapo Hyvarinen, Juha Karhunen, Erkki Oja
| Independent component analysis / / Aapo Hyvarinen, Juha Karhunen, Erkki Oja |
| Autore | Hyvarinen Aapo |
| Pubbl/distr/stampa | New York, : J. Wiley, c2001 |
| Descrizione fisica | 1 online resource (505 p.) |
| Disciplina | 519.5/35 |
| Altri autori (Persone) |
KarhunenJuha
OjaErkki |
| Collana | Adaptive and learning systems for signal processing, communications, and control |
| Soggetto topico |
Multivariate analysis
Principal components analysis |
| ISBN |
1-280-26480-2
9786610264803 0-470-30861-3 0-471-46419-8 0-471-22131-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Contents; Preface; 1 Introduction; 1.1 Linear representation of multivariate data; 1.1.1 The general statistical setting; 1.1.2 Dimension reduction methods; 1.1.3 Independence as a guiding principle; 1.2 Blind source separation; 1.2.1 Observing mixtures of unknown signals; 1.2.2 Source separation based on independence; 1.3 Independent component analysis; 1.3.1 Definition; 1.3.2 Applications; 1.3.3 How to find the independent components; 1.4 History of ICA; Part I: MATHEMATICAL PRELIMINARIES; 2 Random Vectors and Independence; 2.1 Probability distributions and densities
2.2 Expectations and moments2.3 Uncorrelatedness and independence; 2.4 Conditional densities and Bayes' rule; 2.5 The multivariate gaussian density; 2.6 Density of a transformation; 2.7 Higher-order statistics; 2.8 Stochastic processes *; 2.9 Concluding remarks and references; Problems; 3 Gradients and Optimization Methods; 3.1 Vector and matrix gradients; 3.2 Learning rules for unconstrained optimization; 3.3 Learning rules for constrained optimization; 3.4 Concluding remarks and references; Problems; 4 Estimation Theory; 4.1 Basic concepts; 4.2 Properties of estimators 4.3 Method of moments4.4 Least-squares estimation; 4.5 Maximum likelihood method; 4.6 Bayesian estimation *; 4.7 Concluding remarks and references; Problems; 5 Information Theory; 5.1 Entropy; 5.2 Mutual information; 5.3 Maximum entropy; 5.4 Negentropy; 5.5 Approximation of entropy by cumulants; 5.6 Approximation of entropy by nonpolynomial functions; 5.7 Concluding remarks and references; Problems; Appendix proofs; 6 Principal Component Analysis and Whitening; 6.1 Principal components; 6.2 PCA by on-line learning; 6.3 Factor analysis; 6.4 Whitening; 6.5 Orthogonalization 6.6 Concluding remarks and referencesProblems; Part II: BASIC INDEPENDENT COMPONENT ANALYSIS; 7 What is Independent Component Analysis?; 7.1 Motivation; 7.2 Definition of independent component analysis; 7.3 Illustration of ICA; 7.4 ICA is stronger that whitening; 7.5 Why gaussian variables are forbidden; 7.6 Concluding remarks and references; Problems; 8 ICA by Maximization of Nongaussianity; 8.1 ""Nongaussian is independent""; 8.2 Measuring nongaussianity by kurtosis; 8.3 Measuring nongaussianity by negentropy; 8.4 Estimating several independent components; 8.5 ICA and projection pursuit 8.6 Concluding remarks and referencesProblems; Appendix proofs; 9 ICA by Maximum Likelihood Estimation; 9.1 The likelihood of the ICA model; 9.2 Algorithms for maximum likelihood estimation; 9.3 The infomax principle; 9.4 Examples; 9.5 Concluding remarks and references; Problems; Appendix proofs; 10 ICA by Minimization of Mutual Information; 10.1 Defining ICA by mutual information; 10.2 Mutual information and nongaussianity; 10.3 Mutual information and likelihood; 10.4 Algorithms for minimization of mutual information; 10.5 Examples; 10.6 Concluding remarks and references; Problems 11 ICA by Tensorial Methods |
| Record Nr. | UNINA-9910143176003321 |
Hyvarinen Aapo
|
||
| New York, : J. Wiley, c2001 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Independent component analysis [[electronic resource] /] / Aapo Hyvärinen, Juha Karhunen, Erkki Oja
| Independent component analysis [[electronic resource] /] / Aapo Hyvärinen, Juha Karhunen, Erkki Oja |
| Autore | Hyvärinen Aapo |
| Pubbl/distr/stampa | New York, : J. Wiley, c2001 |
| Descrizione fisica | 1 online resource (505 p.) |
| Disciplina |
519.5
519.5/35 519.535 |
| Altri autori (Persone) |
KarhunenJuha
OjaErkki |
| Collana | Adaptive and learning systems for signal processing, communications, and control |
| Soggetto topico |
Multivariate analysis
Principal components analysis |
| ISBN |
1-280-26480-2
9786610264803 0-470-30861-3 0-471-46419-8 0-471-22131-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Contents; Preface; 1 Introduction; 1.1 Linear representation of multivariate data; 1.1.1 The general statistical setting; 1.1.2 Dimension reduction methods; 1.1.3 Independence as a guiding principle; 1.2 Blind source separation; 1.2.1 Observing mixtures of unknown signals; 1.2.2 Source separation based on independence; 1.3 Independent component analysis; 1.3.1 Definition; 1.3.2 Applications; 1.3.3 How to find the independent components; 1.4 History of ICA; Part I: MATHEMATICAL PRELIMINARIES; 2 Random Vectors and Independence; 2.1 Probability distributions and densities
2.2 Expectations and moments2.3 Uncorrelatedness and independence; 2.4 Conditional densities and Bayes' rule; 2.5 The multivariate gaussian density; 2.6 Density of a transformation; 2.7 Higher-order statistics; 2.8 Stochastic processes *; 2.9 Concluding remarks and references; Problems; 3 Gradients and Optimization Methods; 3.1 Vector and matrix gradients; 3.2 Learning rules for unconstrained optimization; 3.3 Learning rules for constrained optimization; 3.4 Concluding remarks and references; Problems; 4 Estimation Theory; 4.1 Basic concepts; 4.2 Properties of estimators 4.3 Method of moments4.4 Least-squares estimation; 4.5 Maximum likelihood method; 4.6 Bayesian estimation *; 4.7 Concluding remarks and references; Problems; 5 Information Theory; 5.1 Entropy; 5.2 Mutual information; 5.3 Maximum entropy; 5.4 Negentropy; 5.5 Approximation of entropy by cumulants; 5.6 Approximation of entropy by nonpolynomial functions; 5.7 Concluding remarks and references; Problems; Appendix proofs; 6 Principal Component Analysis and Whitening; 6.1 Principal components; 6.2 PCA by on-line learning; 6.3 Factor analysis; 6.4 Whitening; 6.5 Orthogonalization 6.6 Concluding remarks and referencesProblems; Part II: BASIC INDEPENDENT COMPONENT ANALYSIS; 7 What is Independent Component Analysis?; 7.1 Motivation; 7.2 Definition of independent component analysis; 7.3 Illustration of ICA; 7.4 ICA is stronger that whitening; 7.5 Why gaussian variables are forbidden; 7.6 Concluding remarks and references; Problems; 8 ICA by Maximization of Nongaussianity; 8.1 ""Nongaussian is independent""; 8.2 Measuring nongaussianity by kurtosis; 8.3 Measuring nongaussianity by negentropy; 8.4 Estimating several independent components; 8.5 ICA and projection pursuit 8.6 Concluding remarks and referencesProblems; Appendix proofs; 9 ICA by Maximum Likelihood Estimation; 9.1 The likelihood of the ICA model; 9.2 Algorithms for maximum likelihood estimation; 9.3 The infomax principle; 9.4 Examples; 9.5 Concluding remarks and references; Problems; Appendix proofs; 10 ICA by Minimization of Mutual Information; 10.1 Defining ICA by mutual information; 10.2 Mutual information and nongaussianity; 10.3 Mutual information and likelihood; 10.4 Algorithms for minimization of mutual information; 10.5 Examples; 10.6 Concluding remarks and references; Problems 11 ICA by Tensorial Methods |
| Record Nr. | UNISA-996201887503316 |
|
Hyvärinen Aapo
|
||
| New York, : J. Wiley, c2001 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||