Hybrid Artificial Intelligence Systems 5th International Conference, HAIS 2010, San Sebastián, Spain, June 23-25, 2010. Proceedings, Part I /
th The 5 International Conference on Hybrid Artificial Intelligence Systems (HAIS 2010) has become a unique, established and broad interdisciplinary forum for researchers and practitioners who are involved in developing and applying symbolic and sub-symbolic techniques aimed at the construction of h...
| Συγγραφή απο Οργανισμό/Αρχή: | |
|---|---|
| Άλλοι συγγραφείς: | , , |
| Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
| Γλώσσα: | English |
| Έκδοση: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2010.
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| Σειρά: | Lecture Notes in Computer Science,
6076 |
| Θέματα: | |
| Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- Y-Means: An Autonomous Clustering Algorithm
- A Survey and Analysis of Frameworks and Framework Issues for Information Fusion Applications
- A Regular Tetrahedron Formation Strategy for Swarm Robots in Three-Dimensional Environment
- Markovian Ants in a Queuing System
- A Parametric Method Applied to Phase Recovery from a Fringe Pattern Based on a Particle Swarm Optimization
- Automatic PSO-Based Deformable Structures Markerless Tracking in Laparoscopic Cholecystectomy
- A Framework for Optimization of Genetic Programming Evolved Classifier Expressions Using Particle Swarm Optimization
- Developing an Intelligent Parking Management Application Based on Multi-agent Systems and Semantic Web Technologies
- Linked Multicomponent Robotic Systems: Basic Assessment of Linking Element Dynamical Effect
- Social Simulation for AmI Systems Engineering
- Automatic Behavior Pattern Classification for Social Robots
- Healthcare Information Fusion Using Context-Aware Agents
- Multivariate Discretization for Associative Classification in a Sparse Data Application Domain
- Recognition of Turkish Vowels by Probabilistic Neural Networks Using Yule-Walker AR Method
- A Dynamic Bayesian Network Based Structural Learning towards Automated Handwritten Digit Recognition
- A Dual Network Adaptive Learning Algorithm for Supervised Neural Network with Contour Preserving Classification for Soft Real Time Applications
- The Abnormal vs. Normal ECG Classification Based on Key Features and Statistical Learning
- Classification of Wood Pulp Fibre Cross-Sectional Shapes
- A Hybrid Cluster-Lift Method for the Analysis of Research Activities
- Protein Fold Recognition with Combined SVM-RDA Classifier
- Data Processing on Database Management Systems with Fuzzy Query
- A Hybrid Approach for Process Mining: Using From-to Chart Arranged by Genetic Algorithms
- Continuous Pattern Mining Using the FCPGrowth Algorithm in Trajectory Data Warehouses
- Hybrid Approach for Language Identification Oriented to Multilingual Speech Recognition in the Basque Context
- An Approach of Bio-inspired Hybrid Model for Financial Markets
- Interactive and Stereoscopic Hybrid 3D Viewer of Radar Data with Gesture Recognition
- Recognition of Manual Actions Using Vector Quantization and Dynamic Time Warping
- Protecting Web Services against DoS Attacks: A Case-Based Reasoning Approach
- Ranked Tag Recommendation Systems Based on Logistic Regression
- A Hybrid Robotic Control System Using Neuroblastoma Cultures
- Image Segmentation with a Hybrid Ensemble of One-Class Support Vector Machines
- Power Prediction in Smart Grids with Evolutionary Local Kernel Regression
- Automatic Quality Inspection of Percussion Cap Mass Production by Means of 3D Machine Vision and Machine Learning Techniques
- Speaker Verification and Identification Using Principal Component Analysis Based on Global Eigenvector Matrix
- Hybrid Approach for Automatic Evaluation of Emotion Elicitation Oriented to People with Intellectual Disabilities
- Fusion of Fuzzy Spatial Relations
- Reducing Artifacts in TMS-Evoked EEG
- Model Driven Image Segmentation Using a Genetic Algorithm for Structured Data
- Stamping Line Optimization Using Genetic Algorithms and Virtual 3D Line Simulation
- Evolutionary Industrial Physical Model Generation
- Evolving Neural Networks with Maximum AUC for Imbalanced Data Classification
- A Neuro-genetic Control Scheme Application for Industrial R 3 Workspaces
- Memetic Feature Selection: Benchmarking Hybridization Schemata
- A Hybrid Cellular Genetic Algorithm for Multi-objective Crew Scheduling Problem
- GENNET-Toolbox: An Evolving Genetic Algorithm for Neural Network Training
- An Evolutionary Feature-Based Visual Attention Model Applied to Face Recognition
- Efficient Plant Supervision Strategy Using NN Based Techniques
- FDI and Accommodation Using NN Based Techniques
- A Hybrid ACO Approach to the Matrix Bandwidth Minimization Problem
- Machine-Learning Based Co-adaptive Calibration: A Perspective to Fight BCI Illiteracy
- Analysing the Low Quality of the Data in Lighting Control Systems
- Type-1 Non-singleton Type-2 Takagi-Sugeno-Kang Fuzzy Logic Systems Using the Hybrid Mechanism Composed by a Kalman Type Filter and Back Propagation Methods
- An Hybrid Architecture Integrating Forward Rules with Fuzzy Ontological Reasoning
- Selecting Regions of Interest in SPECT Images Using Wilcoxon Test for the Diagnosis of Alzheimer’s Disease
- Effective Diagnosis of Alzheimer’s Disease by Means of Association Rules
- Exploratory Matrix Factorization for PET Image Analysis
- NMF-Based Analysis of SPECT Brain Images for the Diagnosis of Alzheimer’s Disease
- Partial Least Squares for Feature Extraction of SPECT Images
- Sensor Fusion Adaptive Filtering for Position Monitoring in Intense Activities
- Prediction of Bladder Cancer Recurrences Using Artificial Neural Networks
- Hybrid Decision Support System for Endovascular Aortic Aneurysm Repair Follow-Up
- On the Design of a CADS for Shoulder Pain Pathology
- Exploring Symmetry to Assist Alzheimer’s Disease Diagnosis
- Thrombus Volume Change Visualization after Endovascular Abdominal Aortic Aneurysm Repair
- Randomness and Fuzziness in Bayes Multistage Classifier
- Multiple Classifier System with Radial Basis Weight Function
- Mixture of Random Prototype-Based Local Experts
- Graph-Based Model-Selection Framework for Large Ensembles
- Rough Set-Based Analysis of Characteristic Features for ANN Classifier
- Boosting Algorithm with Sequence-Loss Cost Function for Structured Prediction
- Application of Mixture of Experts to Construct Real Estate Appraisal Models
- Designing Fusers on the Basis of Discriminants – Evolutionary and Neural Methods of Training.
