Adaptive and Natural Computing Algorithms

Name: Adaptive and Natural Computing Algorithms | 10th International Conference, ICANNGA 2011, Ljubljana, Slovenia, April 14-16, 2011, Proceedings, Part II
Brand: Springer
Price: 53.49 EUR
Availability: OnlineOnly

10th International Conference, ICANNGA 2011, Ljubljana, Slovenia, April 14-16, 2011, Proceedings, Part II

Andrej Dobnikar Uros Lotric Branko Ster(Editor)

Springer (Publisher)

Published on 9. April 2011

XVI, 403 pages

E-Book

PDF with digital watermarking

System requirements

978-3-642-20267-4 (ISBN)

€53.49incl. 7% vat

System requirements

for PDF with digital watermarking

E-Book Single Licence

Available for download

Description

More details

Other editions

Content

Title Pages
Preface
Organization
Table of Contents
Pattern Recognition and Learning
Asymmetric k-Means Algorithm
Introduction
Dissimilarities
Symmetric Dissimilarities
Asymmetric Dissimilarity
Parametrized Dissimilarities
Asymmetric k-Means Clustering
Minimization Technique Employed for Finding Centroids of the Clusters
Experiments
Piano Music Composer Clustering
Human Heart Rhythm Clustering
Summary
References
Gravitational Clustering of the Self-Organizing Map
Introduction
Proposed Algorithm GSOM
SOM Algorithm
Gravitational Clustering
Experiments and Results
Data Sets
Parameters Setting
Evaluation of Results
Conclusion
References
A General Method for Visualizing and Explaining Black-Box Regression Models
Introduction
Explaining Regression Models' Predictions
Approximation Algorithm
Experimental Verification
Conclusion
References
An Experimental Study on Electrical Signature Identification of Non-Intrusive Load Monitoring (NILM) Systems
Introduction
Related Literature
Steady-States (StS) Recognition: Proposed Approach
A Rule for Steady-States Recognition
Defining a Signature
Computational Experiments
Data Collection and Feature Extraction
Feature Classification Methods and Multi-evaluation Metrics
Evaluation Results
Conclusions and Future Work
References
Evaluation of a Resource Allocating Network with Long Term Memory Using GPU
Introduction
Incremental Learning
Resource Allocating Network with Long Term Memory
Parallel Implementation
RAN-LTM Kernels
Experimental Results and Discussion
Experimental Setup
Results and Discussion
Conclusions and Future Work
References
Gabor Descriptors for Aerial Image Classification
Introduction
Related Work
Image Representation and Classifier
Gabor Descriptor
Gist Descriptor
Classifier
Datasets and Experimental Results
In-House Dataset
Window on the UK Dataset
Conclusion
References
Text Representation in Multi-label Classification: Two New Input Representations
Introduction
Multi-label Text Classification
Problem Representation
Bag-of-Words Representation (tf-idf)
Relevance Frequency Representation (tf-rf)
Our Proposal for a New Representation of Multi-label Datasets
Relevance Frequency of a Label
Robust Relevance Frequency of a Label
Classification Method
Experiments
Remarks and Conclusions
References
Fraud Detection in Telecommunications Using Kullback-Leibler Divergence and Latent Dirichlet Allocation
Introduction
Using LDA for User Profiling
KL-Divergence between Multinomial Mixture Models
KL-Divergence between LDAs
Fraud Detection in Telecommunications
Experiments
KL-Divergence Approximation between Two LDAs
Fraud Detection in Telecommunications Results
Summary
References
Classification of EEG in a Steady State Visual Evoked Potential Based Brain Computer Interface Experiment
Introduction
BCI Experiment Setup
Stimulation Interface
Subjects
Experiment Setup
Recording Conditions
Feature Extraction
Classification
Conclusions and Future Work
References
Fast Projection Pursuit Based on Quality of Projected Clusters
Introduction
The QPC Projection Index Learning Speed Improvement
Results
Learning Speed Comparison
Comparison of Generalization
Discussion
References
A New N-gram Feature Extraction-Selection Method for Malicious Code
Introduction
Background
Background
Experiment Results
Conclusion and Future Works
References
A Robust Learning Model for Dealing with Missing Values in Many-Core Architectures
Introduction
Related Work with the Missing Values Problem (MVP)
Neural Selective Input Model (NSIM)
GPU Parallel Implementation
Financial Distress Prediction
Conclusions and Future Work
References
A Model of Saliency-Based Selective Attention for Machine Vision Inspection Application
Introduction
Saliency-Based Selective Attention Model
Saliency Map
Acquisition of "what" and "where" Information
Integration of "what" and "where" Information
Experimental Results and Analysis
Conclusions
References
Grapheme-Phoneme Translator for Brazilian Portuguese
Introduction
Brazilian Portuguese of São Paulo (SPP)
Word Translation
Lexical Analysis
Adaptive Automaton
Example
Disambiguation
Text Translator
Results
Conclusion
References
Soft Computing
Improvement of Inventory Control under Parametric Uncertainty and Constraints
Introduction
Inference Equivalence Principle
Newsboy Problem with No Constraints
Numerical Example
Newsboy Problem with Constraints
Conclusion
References
Modified Jakubowski Shape Transducer for Detecting Osteophytes and Erosions in Finger Joints
Introduction
Shape Description Methodology
Bone Contour Analysis
Concluding Remarks
References
Using CMAC for Mobile Robot Motion Control
Introduction
Backpropagation Through Time (BPTT)
Classical CMAC
VariantsoftheCMAC
Higher-Order CMAC
Kernel CMAC
Fuzzy CMAC
Calculating the Partial Derivatives
The Experimental System
Experimental Results
Training of the Maximum Step Number
Training the Driving Using a KCMAC
Training the Driving Using a FCMAC
Conclusions
References
Optimizing the Robustness of Scale-Free Networks with Simulated Annealing
Introduction
Model Networks and Their Tolerance to Damage
The Optimization Process
Computational Results
Summary and Conclusions
References
Numerically Efficient Analytical MPC Algorithm Based on Fuzzy Hammerstein Models
Introduction
Analytical MPC Algorithm Based on Linear Models (LMPC)
Analytical MPC Algorithm Based on Fuzzy Hammerstein Models (FMPC)
Simulation Experiments
Control Plant
Results
Summary
References
Online Adaptation of Path Formation in UAV Search-and-Identify Missions
Introduction
Model
Problem Setting
Solution Approach
UAV Adaptive Agent
Experiments
Design and Setup
Results
Analysis
Conclusions
References
Reconstruction of Causal Networks by Set Covering
Introduction
Network Reconstruction
Problem Formulation and Global Consistency
Local Consistency
Formulation in Terms of Set Covering
Greedy Approximation to Set Covering
Reconstruction from Noisy Data
Minimum Description Length
Coding Scheme.
MDL as Stopping Criterion
Empirical Evaluation
Generation of Synthetic Data
Naive Approaches
Reconstruction from Noise-Free Data
Reconstruction from Noisy Data
Conclusions
References
The Noise Identification Method Based on Divergence Analysis in Ensemble Methods Context
Introduction
Data Decomposition for Prediction Ensemble
Random Noise Detection Problem
Reference Noise
Similarity Measure and Divergences
Practical Experiment
Conclusions
References
Efficient Predictive Control and Set-Point Optimization Based on a Single Fuzzy Model
Introduction
Predictive Control Algorithms
Takagi-Sugeno Models for Efficient Predictive Control and Set-Point Optimization
Optimization Layer
Steady-State Target Optimization
Simulation Experiments
Summary
References
Wind Turbines States Classification by a Fuzzy-ART Neural Network with a Stereographic Projection as a Signal Normalization
Introduction
Classification Problem of Wind Turbine States
Fuzzy ART Network
Input Signals Normalization
Results
Concluding Remarks
References
Binding and Cross-Modal Learning in Markov Logic Networks
Introduction
The Problem Definition
Implementation in MLN
Cross-Modal Knowledge Base
Learning
The Binding Process
Experimental Results
Conclusion
References
Chaotic Exploration Generator for Evolutionary Reinforcement Learning Agents in Nondeterministic Environments
Introduction
Chaotic Exploration
Population Based Evolutionary Computation
Q-Learning
Evolutionary Reinforcement Learning
Chaotic Based Evolutionary Q-Learning
Simulation and Results
Nondeterministic Maze Task
Actions
Experimental Results
Conclusion
References
Parallel Graph Transformations Supported by Replicated Complementary Graphs
Introduction
Replicated Complementary Graphs
Multiagent Environment for Parallel Graph Transformations
Local Application of the Transformation Rules
Conclusions
References
Diagnosis of Cardiac Arrhythmia Using Fuzzy Immune Approach
Introduction
Fuzzy Immune Approach
Experimental Results
Datasets
Comparision of Different Methods
Criteria and Results of Comparison
Conclusion
References
Systems Theory
Adaptive Finite Automaton: A New Algebraic Approach
Introduction
Notations and Technical Preliminaries
Adaptive Automata
The Adaptive Automaton New Formulation
Adaptive Algebra
Adaptive Transformations
Adaptive Automata
New Formulation Equivalence
Conclusion
Future Work
References
Cryptanalytic Attack on the Self-Shrinking Sequence Generator
Introduction
The Self-Shrinking Generator
The Proposed Attack
General Idea
Cryptanalytic Algorithm
Computation of the Supposition Block
Numerical Results
A Comparison with Other Cryptanalysis
Hardware Implementation
Conclusion
References
About Nonnegative Matrix Factorization: On the {\it posrank} Approximation
Introduction
Classical Formulations and Algorithms
Summary on Previous Works
Constrained Optimization: Related Issues
Experimental Work
MINOS Decompositions for Several Values of Parameter r
MINOS versus Lin's Approximation Algorithm
Conclusion
References
Stability of Positive Fractional Continuous-Time Linear Systems with Delays
Introduction
Preliminaries
Positive Fractional Continuous-Time Systems with Delays
Asymptotic Stability of the Positive Fractional Systems
The References Section
References
Output-Error Model Training for Gaussian Process Models
Introduction
Differences between NARX and NOE Models
Modelling with Gaussian Processes
Illustrative Case Studies
Conclusion
References
Support Vector Machines
Learning Readers' News Preferences with Support Vector Machines
Introduction
Methods
Classification with SVMs
Ranking Pairs with SVMs
Experiments
Datasets
Experiment 1: Predicting Popularity with Binary SVMs
Experiment 2: Predicting Popularity with Ranking SVMs
Experiment 3: Exploring Tags as Popularity Features
Discussion
References
Incorporating a Priori Knowledge from Detractor Points into Support Vector Classification
Introduction
Detractors
Interpretation of Detractors as Dynamic Hyperspheres
An Efficient Solution of the SVC Optimization Problem with Detractors
Reduce a Model by Removing Support Vectors
Experiments
Synthetic Data Tests
Real World Data Sets
Variable p
Conclusions
References
A Hybrid AIS-SVM Ensemble Approach for Text Classification
Introduction
Background
An Immune Model Inspired on Tunable Activation Thresholds
Support Vector Machines
Committee Classification Approaches
Proposed Approach
Experimental Evaluation and Results
Reuters-21578 Benchmark
Data Set Analysis for TAT Processing
Performance Metrics
Results and Analysis
Conclusions
References
Regression Based on Support Vector Classification
Introduction
Introduction to e-SVR and SVC
Regression Based on SVC
Support Vectors
Comparison with e-SVR
Experiments
Synthetic Data Tests
Real World Data Sets
Incorporating a Priori Knowledge in the Form of Detractors to SVCR
Conclusions
References
Two One-Pass Algorithms for Data Stream Classification Using Approximate MEBs
Introduction
Pattern Classification Using MEBs
Kernel Methods
L2-SVM Classification
Minimal Enclosing Balls (MEBs)
Classification of Data Streams Using MEBs
General Structure of the Method
Derivation of the First Rule (OFW)
Derivation of the Second Rule (CNP)
Simulation Results
Conclusions
References
Bioinformatics
X-ORCA - A Biologically Inspired Low-Cost Localization System
Introduction
The X-ORCA Localization System
Physical Setup and Preliminaries
The System Core
Real-World Implementation Details
Methods
Results
Discussion
References
On the Origin and Features of an Evolved Boolean Model for Subcellular Signal Transduction Systems
Introduction
Boolean Model of Subcellular Signal-Transduction Network
Evolution and Experimental Results
Conclusion
References
Similarity of Transcription Profiles for Genes in Gene Sets
Introduction
Data
Methods
Transcription Profile Association Measures
Experimental Methodology
Results and Discussion
Conclusion
References
Author Index

System requirements

Save as PDF Copy link into clipboard

Schweitzer Fachinformationen

Adaptive and Natural Computing Algorithms

Description

More details

Other editions

Additional editions

Content

System requirements