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Artificial neural networks : biological inspirations : ICANN 2005 : 15th International Conference, Warsaw, Poland, September 11-15, 2005 : proceedings, part I / / Wodzisaw Duch ... [et al.] (eds.)
| Artificial neural networks : biological inspirations : ICANN 2005 : 15th International Conference, Warsaw, Poland, September 11-15, 2005 : proceedings, part I / / Wodzisaw Duch ... [et al.] (eds.) |
| Edizione | [1st ed. 2005.] |
| Pubbl/distr/stampa | Berlin, : Springer, 2005 |
| Descrizione fisica | 1 online resource (XXXII, 708 p.) |
| Disciplina | 006.3/2 |
| Altri autori (Persone) | DuchW <1954-> (Wodzisaw) |
| Collana | Lecture notes in computer science |
| Soggetto topico |
Neural networks (Computer science)
Artificial intelligence |
| 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. |
| Altri titoli varianti | ICANN 2005 |
| Record Nr. | UNINA-9910484155603321 |
| Berlin, : Springer, 2005 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Artificial neural networks - ICANN 2010 [[electronic resource] ] : 20th international conference, Thessaloniki, Greece, September 15-18, 2010, proceedings . Part I / / Konstantinos Diamantaras, Wlodek Duch, Lazaros S. Iliadis (eds.)
| Artificial neural networks - ICANN 2010 [[electronic resource] ] : 20th international conference, Thessaloniki, Greece, September 15-18, 2010, proceedings . Part I / / Konstantinos Diamantaras, Wlodek Duch, Lazaros S. Iliadis (eds.) |
| Edizione | [1st ed. 2010.] |
| Pubbl/distr/stampa | Berlin, : Springer, 2010 |
| Descrizione fisica | 1 online resource (XXXI, 587 p. 227 illus.) |
| Disciplina | 006.3/2 |
| Altri autori (Persone) |
DiamantarasKonstantinos I
DuchW <1954-> (Wodzisaw) IliadisLazaros S |
| Collana |
Lecture notes in computer science
LNCS sublibrary. SL 1, Theoretical computer science and general issues |
| Soggetto topico |
Neural networks (Computer science)
Natural computation |
| ISBN |
1-280-38908-7
9786613567000 3-642-15819-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | ANN Applications -- Bayesian ANN -- Bio Inspired – Spiking ANN -- Biomedical ANN -- Computational Neuroscience -- Feature Selection/Parameter Identification and Dimensionality Reduction -- Filtering -- Genetic – Evolutionary Algorithms -- Image – Video and Audio Processing. |
| Altri titoli varianti | ICANN 2010 |
| Record Nr. | UNINA-9910483076303321 |
| Berlin, : Springer, 2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Artificial neural networks - ICANN 2010 [[electronic resource] ] : 20th international conference, Thessaloniki, Greece, September 15-18, 2010, proceedings . Part III / / Konstantinos Diamantaras, Wlodek Duch, Lazaros S. Iliadis (eds.)
| Artificial neural networks - ICANN 2010 [[electronic resource] ] : 20th international conference, Thessaloniki, Greece, September 15-18, 2010, proceedings . Part III / / Konstantinos Diamantaras, Wlodek Duch, Lazaros S. Iliadis (eds.) |
| Edizione | [1st ed. 2010.] |
| Pubbl/distr/stampa | Berlin, : Springer, 2010 |
| Descrizione fisica | 1 online resource (XVII, 575 p. 213 illus.) |
| Disciplina | 006.3/2 |
| Altri autori (Persone) |
DiamantarasKonstantinos I
DuchW <1954-> (Wodzisaw) IliadisLazaros S |
| Collana |
Lecture notes in computer science
LNCS sublibrary. SL 1, Theoretical computer science and general issues |
| Soggetto topico |
Neural networks (Computer science)
Natural computation |
| ISBN |
1-280-38910-9
9786613567024 3-642-15825-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Classification – Pattern Recognition -- Deep Bottleneck Classifiers in Supervised Dimension Reduction -- Local Modeling Classifier for Microarray Gene-Expression Data -- Learning of Lateral Connections for Representational Invariant Recognition -- Computational Properties of Probabilistic Neural Networks -- Local Minima of a Quadratic Binary Functional with a Quasi-Hebbian Connection Matrix -- A Learned Saliency Predictor for Dynamic Natural Scenes -- Learning a Combination of Heterogeneous Dissimilarities from Incomplete Knowledge -- A Bilinear Model for Consistent Topographic Representations -- Accelerating Large-Scale Convolutional Neural Networks with Parallel Graphics Multiprocessors -- Evaluation of Pooling Operations in Convolutional Architectures for Object Recognition -- Visual Shape Recognition Neural Network Using BESOM Model -- Comparing Feature Extraction Techniques and Classifiers in the Handwritten Letters Classification Problem -- The Parameter Optimization of the Pulse Coupled Neural Network for the Pattern Recognition -- The Use of Feed Forward Neural Network for Recognizing Characters of Dactyl Alphabet -- Detecting DDoS Attack towards DNS Server Using a Neural Network Classifier -- Classification Based on Multiple-Resolution Data View -- Identification of the Head-and-Shoulders Technical Analysis Pattern with Neural Networks -- Analyzing Classification Methods in Multi-label Tasks -- Learning Bimanual Coordination Patterns for Rhythmic Movements -- Classification of Voice Aging Using Parameters Extracted from the Glottal Signal -- Learning Algorithms and Systems -- TopoART: A Topology Learning Hierarchical ART Network -- Policy Gradients for Cryptanalysis -- Linear Projection Method Based on Information Theoretic Learning -- Continuous Visual Codebooks with a Limited Branching Tree Growing Neural Gas -- An Efficient Collaborative Recommender System Based on k-Separability -- Empirical Analysis of the Divergence of Gibbs Sampling Based Learning Algorithms for Restricted Boltzmann Machines -- Multitask Semi–supervised Learning with Constraints and Constraint Exceptions -- Tumble Tree – Reducing Complexity of the Growing Cells Approach -- Sentence Extraction by Graph Neural Networks -- Autonomous Generation of Internal Representations for Associative Learning -- Improving Accuracy of LVQ Algorithm by Instance Weighting -- Multifactor Expectation Maximization for Factor Graphs -- Weighted Learning Vector Quantization to Cost-Sensitive Learning -- Solution Space of Perceptron -- Natural Language Processing Neural Network for Recall and Inference -- Nominally Conditioned Linear Regression -- A Novel Continuous Dual Mode Neural Network in Stereo-Matching Process -- Learning Invariant Visual Shape Representations from Physics -- Algorithms Creating Algorithms -- Assessing Statistical Reliability of LiNGAM via Multiscale Bootstrap -- Learning with Convex Constraints -- Theoretical Analysis of Cross-Validation(CV)-EM Algorithm -- Application of BSP-Based Computational Cost Model to Predict Parallelization Efficiency of MLP Training Algorithm -- Dynamic Shape Learning and Forgetting -- On-Line Ensemble-Teacher Learning through a Perceptron Rule with a Margin -- Model of the Hippocampal Learning of Spatio-temporal Sequences -- Adding Nonlinear System Dynamics to Levenberg-Marquardt Algorithm for Neural Network Control -- Computational Intelligence -- Some Comparisons of Model Complexity in Linear and Neural-Network Approximation -- A Funny Proverb Generation System Based on Sukashi -- Supervised Neural Fuzzy Schemes in Video Transmission over Bluetooth -- A Graph Based Framework for Clustering and Characterization of SOM -- Clustering Using Elements of Information Theory -- A Path Planning Method for Human Tracking Agents Using Variable-Term Prediction -- Three-Layer Feedforward Structures Smoothly Approximating Polynomial Functions -- Neural Networks Training for Weapon Selection in First-Person Shooter Games -- Efficient Confidence Bounds for RBF Networks for Sparse and High Dimensional Data -- Large Scale Problem Solving with Neural Networks: The Netflix Prize Case -- A Cooperative and Penalized Competitive Learning Approach to Gaussian Mixture Clustering -- A Inference Mechanism for Polymer Processing Using Rough-Neuro Fuzzy Network -- IEM3 Workshop -- Data Mining Methods for Quality Assurance in an Environmental Monitoring Network -- Predicting QoL Parameters for the Atmospheric Environment in Athens, Greece -- Investigating Pollen Data with the Aid of Fuzzy Methods -- A New Neural Model for Traffic Simulation -- System Architecture for a Smart University Building -- Monitoring and Assessment of Environmental Impact by Persistent Organic Pollutants -- A Feature Selection Method for Air Quality Forecasting -- CVA Workshop -- How Do Attention, Intention, and Consciousness Interact? -- Consciousness versus Attention -- On the Fringe of Awareness: The Glance-Look Model of Attention-Emotion Interactions -- No Stopping and No Slowing: Removing Visual Attention with No Effect on Reversals of Phenomenal Appearance -- Modelling Neurotic Psychopathology: Memory, Attention and Symbolization -- SOINN Workshop -- How to Use the SOINN Software: User’s Guide (Version 1.0) -- Unguided Robot Navigation Using Continuous Action Space -- Self-Organizing Incremental Neural Network and Its Application -- Machine Learning Approaches for Time-Series Data Based on Self-Organizing Incremental Neural Network -- Online Knowledge Acquisition and General Problem Solving in a Real World by Humanoid Robots -- Incremental Learning Using Self-Organizing Neural Grove -- Fast and Incremental Attribute Transferring and Classifying System for Detecting Unseen Object Classes. |
| Altri titoli varianti | ICANN 2010 |
| Record Nr. | UNINA-9910483672603321 |
| Berlin, : Springer, 2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||