Hybrid Artificial Intelligent Systems, Part I : 5th International Conference, HAIS 2010, San Sebastian, Spain, June 23-25, 2010. Proceedings / edited by Manuel Grana Romay, M. Teresa Garcia Sebastian.

Format:

Book

Contributor:

Graña Romay, Manuel, editor.

Garcia-Sebastian, M. Teresa, editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

Lecture notes in computer science. Lecture notes in artificial intelligence ; 6076.

Lecture Notes in Artificial Intelligence ; 6076

Language:

English

Subjects (All):

Artificial intelligence.

Computer programming.

Algorithms.

Application software.

Computers.

Database management.

Artificial Intelligence.

Programming Techniques.

Algorithm Analysis and Problem Complexity.

Information Systems Applications (incl. Internet).

Computation by Abstract Devices.

Database Management.

Local Subjects:

Artificial Intelligence.

Programming Techniques.

Algorithm Analysis and Problem Complexity.

Information Systems Applications (incl. Internet).

Computation by Abstract Devices.

Database Management.

Physical Description:

1 online resource (XXXIV, 606 pages) : 227 illustrations.

Edition:

First edition 2010.

Contained In:

Springer eBooks

Place of Publication:

Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2010.

System Details:

text file PDF

Summary:

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 highly robust and reliable problem-solving techniques, and bringing the most relevant achievements in this field. Overcoming the rigid encasing imposed by the arising orthodoxy in the field of arti- cial intelligence, which has led to the partition of researchers into so-called areas or fields, interest in hybrid intelligent systems is growing because they give freedom to design innovative solutions to the ever-increasing complexities of real-world pr- lems. Noise and uncertainty call for probabilistic (often Bayesian) methods, while the huge amount of data in some cases asks for fast heuristic (in the sense of suboptimal and ad-hoc) algorithms able to give answers in acceptable time frames. High dim- sionality demands linear and non-linear dimensionality reduction and feature extr- tion algorithms, while the imprecision and vagueness call for fuzzy reasoning and linguistic variable formalization. Nothing impedes real-life problems to mix diffic- ties, presenting huge quantities of noisy, vague and high-dimensional data; therefore, the design of solutions must be able to resort to any tool of the trade to attack the problem. Combining diverse paradigms poses challenging problems of computational and methodological interfacing of several previously incompatible approaches. This is, thus, the setting of HAIS conference series, and its increasing success is the proof of the vitality of this exciting field.

Contents:

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.

Other Format:

Printed edition:

ISBN:

978-3-642-13769-3

9783642137693

Access Restriction:

Restricted for use by site license.