
Adaptive and Natural Computing Algorithms
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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
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