Artificial Neural Networks - ICANN 2010: 20th International Conference, Thessaloniki, Greece, September 15-18, 2010, Proceedings, Part III Konstantino - libro nuevo

EAN (ISBN-13): 9783642158247
ISBN (ISBN-10): 3642158242
Tapa dura
Tapa blanda
Año de publicación: 2010
Editorial: Springer Berlin Heidelberg Core >1 >T
575 Páginas
Peso: 0,884 kg
Idioma: eng/Englisch

Libro en la base de datos desde 2008-05-30T22:32:29-05:00 (Mexico City)
Página de detalles modificada por última vez el 2024-02-28T10:59:37-06:00 (Mexico City)
ISBN/EAN: 9783642158247

ISBN - escritura alterna:
3-642-15824-2, 978-3-642-15824-7
Mode alterno de escritura y términos de búsqueda relacionados:
Autor del libro: duch, lazar, mazower, duc, konstantinos, lázár, herausgeber
Título del libro: international conference artificial neural networks, art net, thessaloniki, beyond 2010, icaane, iii

---

Datos del la editorial

Autor: Konstantinos Diamantaras; Wlodek Duch; Lazaros S. Iliadis
Título: Lecture Notes in Computer Science; Theoretical Computer Science and General Issues; Artificial Neural Networks - ICANN 2010 - 20th International Conference, Thessaloniki, Greece, September 15-18, 2010, Proceedings, Part III
Editorial: Springer; Springer Berlin
575 Páginas
Año de publicación: 2010-09-03
Berlin; Heidelberg; DE
Idioma: Inglés
53,49 € (DE)
54,99 € (AT)
59,00 CHF (CH)
Available
XVII, 575 p. 213 illus.

BC; Hardcover, Softcover / Informatik, EDV/Informatik; Künstliche Intelligenz; Verstehen; Informatik; adaptive algorithms; algorithms; ants; architectures; artificial intelligence; brain-computer interfaces; classification; complexity; computational intelligence; computational neuroscience; data mining; evolutionary algorithms; expectation–maximization algorithm; object recognition; pattern recognition; algorithm analysis and problem complexity; Artificial Intelligence; Theory of Computation; Computer and Information Systems Applications; Algorithms; Automated Pattern Recognition; Database Management; Theoretische Informatik; Angewandte Informatik; Algorithmen und Datenstrukturen; Mustererkennung; Datenbanken; EA

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 LimitedBranching 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 GraphBased 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 onSelf-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.
Fast track conference proceeding Unique visibility State-of-the-art research