Bio-Inspired Computing and Applications

Name: Bio-Inspired Computing and Applications | 7th International Conference on Intelligent Computing, ICIC2011, Zhengzhou, China, August 11-14. 2011, Revised Papers
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7th International Conference on Intelligent Computing, ICIC2011, Zhengzhou, China, August 11-14. 2011, Revised Papers

De-Shuang Huang Yong Gan Prashan Premaratne Kyungsook Han(Herausgeber*in)

Springer (Verlag)

Erschienen am 5. Januar 2012

XXIII, 713 Seiten

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Inhalt

Title
Preface
Organization
Table of Contents
Neural Networks
Application of Neural Network on Solid Boronizing
Introduction
The Design and the Implementation of the Neural Network
The Collection of the Sample Data
Neural Network Topology and Algorithms
Study Training of Neural Network
The Result and the Comparison
Conclusion
References
Improved Stability Criteria for Discrete-Time Stochastic Neural Networks with Randomly Time-Varying Delays
Introduction
Preliminaries
Main Results
Numerical Examples
Conclusions
References
A Partially Connected Neural Evolutionary Network for Stock Price Index Forecasting
Introduction
Partially Connected Neural Evolutionary Model (PARCONE)
Applying Genetic Algorithms to Parone
Research Method
The Implement of Parcone
Research Data and Experiments
Conclusions
References
Finite Precision Extended Alternating Projection Neural Network (FPEAP)
Introduction
EAP and FPEAP
Simulation Experiment and Result Analysis
Peroration
References
Simulation of Visual Attention Using Hierarchical Spiking Neural Networks
Introduction
Spiking Neural Network for Simulation of Visual Attention
Simulation Algorithms of the Spiking Neural Network
Simulation Results
Discussion
References
A Class of Chaotic Neural Network with Morlet Wavelet Function Self-feedback
Introduction
TCNN With Morlet Wavelet Function Self-feedback
Energy Function
Energy Modifier of CNN
Asymptotical Stability
Application to 10-City TSP
Conclusion
References
A Novel Nonlinear Neural Network Ensemble Model Using K-PLSR for Rainfall Forecasting
Introduction
The Building Process of the Neural Network Ensemble Model
Radial Basis Function Neural Network
Kernel PLS Regression
Our Proposed Novel Hybrid RBF-K-PLS
Experiments Analysis
Empirical Data
Performance Evaluation of Model
Analysis of the Results
Conclusion
References
On-Line Extreme Learning Machine for Training Time-Varying Neural Networks
Introduction
Extreme Learning Machine for Time-Varying Neural Networks
On-Line ELM-TV
Simulation Results
Time-Varying MLP System Identification
Time-Varying Narendra System Identification
Conclusions
References
Oscillatory Behavior for a Class of Recurrent Neural Networks with Time-Varying Input and Delays
Introduction
Preliminary
Oscillation Analysis
Simulation Results
Conclusion
References
A Saturation Binary Neural Network for Bipartite Subgraph Problem
Introduction
Saturation Binary Neural Network
Solving Biprtite Sub-graph Problems Using SBNN
Simulation Results
Conclusion
References
Modeling and Analysis of Network Security Situation Prediction Based on Covariance Likelihood Neural
Introduction
Principle of Situation Prediction Control
Neural with Covariance Likelihood
Security Situation Prediction Model
Experiments and Results
Conclusions
References
Local Meta-models for ASM-MOMA
Introduction
Algorithm Description
Test Setup
Results
Conclusions
References
Stock Market Trend Prediction Model for the Egyptian Stock Market Using Neural Networks and Fuzzy Logic
Introduction
Technical Analysis
The Proposed System
Predictor Model Based on Neural Network
Fuzzy Rule Based Model
Integration
Experimental Results
Conclusion
References
Systems Biology and Computational Biology
Inferring Protein-Protein Interactions Based on Sequences and Interologs in Mycobacterium Tuberculosis
Introduction
Methods
Framework of Prediction
Validation from Multiple Resources
Results
Performance of Predictor
Protein Interactions in M. tuberculosis
Validation Results
Conclusion
References
Predicting Long-Term Vaccine Efficacy against Metastases Using Agents
Introduction
Biological Background
Brief Description of the MetastaSim Dodel
Long-Term ``in silico'' Experiments
Conclusions
References
Computational Genomics and Proteomics
Accurately Predicting Transcription Start Sites Using Logitlinear Model and Local Oligonucleotide Frequencies
Introduction
Materials and Methods
Experimental Data
Logitlinear Model
TSS Prediction
Parameter Estimation
Evaluation Method
Results and Discussions
Optimal Parameters of ProKey
Performance of ProKey on the Whole Human Genome
Performance Comparison between ProKey and Other Programs
Conclusion
References
Knowledge Discovery and Data Mining
A New Method for Identifying Cancer-Related Gene Association Patterns
Introduction
Methods
kernel Gene Association Model
kGAM-Based Cancer Classification and the Searching of a Compact kGAM
Experimental Results
Detection of kGAMs for the Three Data Sets
Evaluation of the Classification Performance of the kGAM Model
Conclusion
References
A New Mining Algorithm of Association Rules and Applications
Introduction
Associated Rules and Algorithm
Improvement Based on Apriori Algorithm
Performance Test of the Improved Algorithm
Application of Improved Algorithm in Traffic Accident Data Mining
Conclusion
References
MiRaGE: Inference of Gene Expression Regulation via MicroRNA Transfection II
Introduction
Materials and Methods
Gene Expression Data for Transfection Experiment
Inference of miRNA which Regulates Target Genes Significantly
Coincidence between Biological Replicates
Significant Overlap between Target Genes
Results
Discussion
Conclusion
References
Syntactic Pattern Recognition from Observations: A Hybrid Technique
Introduction
Related Work
Proposed Hybrid Technique
State 1 - Numeric
State 2 - Logic
State 3 - Statistical
State 4 - Syntactic
Grammar Induction Example
Grammar Induction Procedure
Proof-of-Concept Early Implementations
Comparisons with Other Approaches
Overall Considerations
Conclusion
References
An Efficient Ensemble Method for Classifying Skewed Data Streams
Introduction
Related Work
Our ECSDS Algorithm
Algorithm Description
Technical Details
Analysis of Time Complexity
Experiments
Experimental Setting
Experimental Analysis
Conclusions
References
An Association Rules Algorithm Based on Kendall-$T$
Introduction
An Introduction of Apriori Algorithm
Definitions
Synchronous Positive Association Rules and Contrary Positive Association Rules
The Definition of Negative Association Rules
K-apriori Algorithm
Experiment
The Example of Synchronous Positive Association Rules
The Example of Contrary Positive Association Rules
The Example of Negative Association Rules
Analysis and Comparisons
Conclusions
References
A Recommendation Algorithm Combining Clustering Method and Slope One Scheme
Introduction
Related Work
Algorithms
Notation
Clustering Algorithm
Slope One Scheme
Fusion Method
Experiments Evaluation and Results
Date Set
Evaluation Metrics
Experimental Results
Discussion
Conclusion and Future Work
References
Dimensional Reduction Based on Artificial Bee Colony for Classification Problems
Introduction
Our Proposed Method: ABC-SVM
Experimental Results and Discussion
Conclusion
References
Evolutionary Learning and Genetic Algorithms
Robust Controller Design for Main Steam Pressure Based on SPEA2
Introduction
Main Steam Boiler Pressure Control System
H$\infty$ Mixed Sensitivity Design
Optimization the Weighing Matrix Parameters Using SPEA2
Simulation
Structure of Weighing Functions and Parameter Coding
Determination of the Objective Function
Simulation Results
Conclusion
References
GA-Based Hybrid Algorithm for MBR Problem of FIPP p-Cycles for Node Failure on Survivable WDM Networks
Introduction
FIPP p-Cycles
Backup Reprovisioning
Problem Definition
Notations
Preprocessing Algorithm
Cases of Failure
Preprocessing
Genetic Algorithm
Chromosome Encoding
Population Initialization
Fitness Definition
Crossover Operators and Mutation
Chromosome Adjustment Algorithm (CAA)
Experimental Results
Conclusions
References
A New Hybrid Algorithm for the Multidimensional Knapsack Problem
Introduction
Ant Colony Optimization and Scatter Search
Proposed Hybrid Algorithm
Solution Construction
A Reference Set Generation Method
A Solution Combination Method
Computational Results
Conclusions
References
Multi-population Cooperative Cultural Algorithms
Introduction
Multi-population Cooperative Cultural Algorithm
Description and Update of Knowledge in Belief Space
Knowledge-Inducing Evolution in Population Space
Interface Functions
Simulation Results and Analysis
Performances Analysis about the MCCA
Comparison of the Performances among Different Methods
Conclusion
References
A Hybrid Quantum-Inspired Particle Swarm Evolution Algorithm and SQP Method for Large-Scale Economic Dispatch Problems
Introduction
Problem Formulation
Objective Function
System Constraints
Implementation of QPSO-SQP for EDPs
Quantum Evolution Algorithm and Particle Swarm Optimization
Sequential Quadratic Programming (SQP)
The Proposed QPSO-SQP and Its Implementation for Large-Scale EDPs
Simulation Results
Conclusion
References
Recursive and Incremental Learning GA Featuring Problem-Dependent Rule-Set
Introduction
Traditional GA-Based Classifier
Fitness Function (Global Fitness)
Recursive GA Learning with Task Decomposition and Varied Rule Number
Elicitation of Local Fitness and Local Fitness Algorithm
The Decomposition Training Algorithm
Integration Phase
RLGA with Incremental Attribute Learning
Discriminating Ability of Attributes
Formation of the Initial Population
The Training Algorithm
Experimental Results and Analysis
Discussion
Conclusion
References
Evaluation of Crossover Operator Performance in Genetic Algorithms with Binary Representation
Introduction
Preliminary
Crossover Operator
Test Functions
Evolutionary Computation Framework - ECF
Experimental Results and Comparisons
Environmental Settings
Experiments and Results
Conclusions
References
Biological and Quantum Computing
Quantum Information Splitting Using GHZ-Type and W-Type States
Introduction
QIS Using GHZ States
The History QIS Scheme
Our QIS Scheme
QIS Using W States
Conclusions
References
Attacks and Improvements of QSDC Schemes Based on CSS Codes
Introduction
Preliminaries
The QSDC Scheme Using Quantum CSS Codes [21]
An MITM Attack on the QSDC Scheme Using Quantum CSS Codes
The Feasibility of MITM Attacks
An MITM Attack Method
The Effectiveness of the MITM Attack
An Improved QSDC Scheme Using Quantum CSS Codes
Properties of the Improved QSDC Scheme
Conclusion
References
Machine Learning Theory and Methods
Stochastic System Identification by Evolutionary Algorithms
Introduction
Methodology
Result and Improvement
Conclusion
References
Biomedical Informatics Theory and Methods
Do MicroRNAs Preferentially Target the Genes with Low DNA Methylation Level at the Promoter Region?
Introduction
Materials and Methods
Data Set
Measurements of DNA Methylation Level
Data Processing
Results
Negative Correlation between Gene Promoter Methylation Level andmi RNA Target Site Number at Differentially Methylated Genomic Regions
Negative Correlation between Gene Promoter Methylation Level and miRNA Target Site Number within Partially Methylated Domains
Correlation between Gene Promoter Methylation Level and miRNA Target Site Number in the Whole Genome
Discussion and Future Perspective
References
Complex Systems Theory and Methods
Ameliorating GM (1, 1) Model Based on the Structure of the Area under Parabola
Introduction
Modeling Mechanism of the Ameliorating GM (1, 1) Model
GM(1,1) Model
The Improved Structure of the Background Value
Calculate the Background Value
Example
Conclusion
References
Reliability of Standby Systems
Introduction and Motivations
Preliminary Concepts
Standby Characterization
Inside a Standby Unit
The System Perspective
Formal Aspects
Conclusions
References
Intelligent Computing Theory and Methods
A Kernel Function Based Estimation Algorithm for Multi-layer Soil Structure
Introduction
Apparent Soil Resistivity: The Forward Problem
Estimation of Soil Parameters: The Inverse Problem
The Proposed Method: Inversion of Soil Parameters from the Kernel Function
Calculation Results
Conclusion
References
Computing Technique in Ancient India
Introduction
Main Features of Vedic System
Base System
Vinculum Operations
Idea of 10's Complement
The Sutra "Nikhilam Navatascaramam Dasatah"
Subtraction
Using the Sutra "Nikhilam Navatascaramam Dasatah"
The Algebraic Basis of the Method
Tables, Addition, Multiplication and Division
Tables
Addition
Multiplication
Upasutra "Anurupyena"
Division
The Algebraic Basis of the Division by Nikhilam Method for Two, Three and Four Digits Respectively
Conclusion
References
Smart Sensors: A Holonic Perspective
Introduction
Related Work
Holons and Artificial Intelligence
Latest Trends in the Literature of Holonic Systems
A Holonic Smart Sensor
Example of a "Smart" Holonic Application
Conclusion
References
Natural Language Processing and Computational Linguistics
Reducing Grammar Errors for Translated English Sentences
Introduction
Overview of Myanmar-English Statistical Machine Translation System
Proposed System
Part-of-Speech (POS) Tagging
Making Chunks
Detecting Sentence Patterns and Analyzing Chunk Errors
Correcting Grammar Errors
Experimental Results
Conclusion and Future Work
References
Improve Coreference Resolution with Parameter Tunable Anaphoricity Identification and Global Optimization
Introduction
Related Work
Anaphoricity Identification
Learning Model and Feature Selection
Tunable Parameters
Global Optimization
Coreference Resolution
Result and Analysis
Anaphoricity Identification Results
Coreference Resolution Result
Conclusion
References
Granular Computing and Rough Sets
A Variable Muitlgranulation Rough Sets Approach
Introduction
Preliminary Knowledge on Rough Sets
Pawlak's Rough Set
Multigranulation Rough Set
Variable Multigranulation Rough Set
Conclusions
References
Incomplete Multigranulation Rough Sets in Incomplete Ordered Decision System
Introduction
Preliminary Knowledge on Rough Sets
Incomplete Ordered Decision System [2]
Similarity Dominance Relation Based Rough Set Model [2]
Tolerance Relations Based Incomplete MGRS [6]
Similarity Dominance Relation Based IMGRS
Similarity Dominance Relation Based Optimistic IMGRS
Similarity Dominance Relation Based Pessimistic IMGRS
Rules in Similarity Dominance Relation Based IMGRS
An Illustrative Example
Conclusions
References
Fuzzy Theory and Models
A Special Class of Fuzzified Normal Forms
Introduction
Boolean and Fuzzified Normal Forms
Preliminaries
A Special Class of Fuzzified Normal Forms
A Review of Properties
Additional Properties
Design of Fuzzified Normal Forms with Boolean Methods
An Application in Fuzzy Control
Boolean Controller
Fuzzy Controller
Designed Controllers and Responses on Time
Conclusion
References
Mean-Entropy Model for Portfolio Selection with Type-2 Fuzzy Returns
Introduction
Preliminaries
Entropy for the Reduction of Type-2 Triangular Fuzzy Variable
Formulation of Portfolio Selection Problem
Equivalent Parametric Programming of Portfolio Selection Model
Numerical Experiments
Conclusions
References
A Linear Regression Model for Nonlinear Fuzzy Data
Introduction and Motivation
A Linear Programming Fuzzy Regression Model
The Independent Variables
Fuzzy Arithmetic of Interesting Values
Linear Programming Fuzzy Regression Model
Validation of the Model - A Comparison Case
Shipping Company Case Study
Concluding Remarks
References
Fuzzy Systems and Soft Computing
No Reference Image Quality Assessment by Designing Fuzzy Relational Classifier Using MOS Weight Matrix
Introduction
Fuzzy Relational Classification
Feature Selection
Procedure
Results
Conclusion
References
Particle Swarm Optimization and Niche Technology
Ant Colony Optimization for Nonlinear Inversion of Rayleigh Waves
Introduction
Ant Colony Optimization for Surface Wave Analysis
Modeling Results
Field Data Inversion
Conclusions
References
Memetic Fitness Euclidean-Distance Particle Swarm Optimization for Multi-modal Optimization
Introduction
PSO and Niching
Particle Swarm Optimization
Fitness Euclidean-Distance Ratio PSO
Memetic FERPSO
Experiment Preparation
Test Function
Experimental Setup
Experiments and Results
Success Rate
Average Number of Optima Found
Conclusion
References
Clock Drift Management Using Particle Swarm Optimization
Introduction
Particle Swarm Optimization
Proposed Approach
Clock Drift Management Using Linear Regression
Optimization of Clock Drift Using PSO
Fitness Function
Algorithm
Results
Result of Clock Drift Management Using Linear Regression and PSO
Comparative Result of Particle Swarm Optimization with Linear Regression
Conclusion
References
Swarm Intelligence and Optimization
Stem Cells Optimization Algorithm
Introduction
Stem Cells
Proposed Stem Cells Optimization Algorithm
Experimental Results
Conclusion
References
Constrained Clustering via Swarm Intelligence
Introduction
Constrained Clustering
Constrained Ant Clustering Algorithm
The Framework of Ant Constrained Clustering
Algorithm Description
Constrained Migration Mechanism
Experiments
Illustration on Artificial Dataset
The Evaluation Methods
Experiments on Artificial Datasets and UCI Datasets
Conclusions
References
A Population-Based Hybrid Extremal Optimization Algorithm
Introduction
The Adaptive Co-evolution Population-Based Extremal Optimization ( ACPEO ) Algorithm
Numerical Experiments
Comparison with the PSO-EO Algorithm
Parameter Study
Conclusions and Future Works
References
An Effective Ant Colony Algorithm for Graph Planarization Problem
Introduction
Problem Formulation
An Effective Ant Colony Algorithm for Graph Planarization Problem
Simulate Result
Conclusions
References
A Novel Chaos Glowworm Swarm Optimization Algorithm for Optimization Functions
Introduction
Chaotic Glowworm Swarm Optimization Algorithm (CGSO)
Defects of GSO
Chaotic Search Strategy
CGSO Algorithm
Experimental Results and Analysis
Test Functions
Experimental Parameters
Test Environment
Simulation Results and Analysis
Conclusions
References
Supervised and Semi-supervised Learning
Semi-supervised Protein Function Prediction via Sequential Linear Neighborhood Propagation
Introduction
Sequential Linear Neighborhood Propagation
Sequential LNP
Predicting the Protein Functions in PPI Using SLNP
Experiments
Data Set and Experimental Setup
Results
Conclusion
References
Intelligent Computing in Bioinformatics
An Improved Newman Algorithm for Mining Overlapping Modules from Protein-Protein Interaction Networks
Introduction
Methods
De-noising
Improved Newman Algorithm
Algorithm Steps
Experiments and Analysis
Distribution of Modular Structure
Comparative Analysis of CPM and the Improved Algorithm
Conclusions
References
Protein Interface Residues Prediction Based on Amino Acid Properties Only
Introduction
Methods
Amino Acid Properties
Predicting Model Construction
Results
Correlation of the Selected Properties
Prediction Performance
Conclusions
References
Hybrid Filter-Wrapper with a Specialized Random Multi-Parent Crossover Operator for Gene Selection and Classification Problems
Introduction
Hybrid Filter-Wrapper Method
General GA Procedure
Chromosome Encoding
Fitness Evaluation
Multi-Parent Recombination
LDA-Based Mutation
Experiments on Microarray Datasets
Microarray Gene Expression Datasets
Experimental Results
Conclusions and Future Work
References
Similarity Analysis of DNA Sequences Based on Three 2-D Cumulative Ratio Curves
Introduction
Materials and Methods
Dataset Preparation
Construction of Three Ratio Curves
Results and Discussion
Calculation of the Cumulative Ratio of a DNA Sequence
Conclusion
References
Similarity Analysis of DNA Barcodes Sequences Based on Compressed Feature Vectors
Introduction
Materials and Methods
Dataset Preparation
Nucleotide Frequencies Calculation of DNA Barcodes Sequence
A New Method for Computing the Distance of Two DNA Barcodes Sequences
Results and Discussion
Nucleotide Frequencies Matrix of DNA Barcodes Sequence
The Comparison Based on the Euclidean Distance of Two DNA Barcodes Sequences
Relationship Analysis for Specimens
Analysis for the Relationships within Intra-specimens
Conclusion
References
Indentifying Disease Genes Using Disease-Specific Amino Acid Usage
Introduction
Materials and Methods
Datasets
Outline
Analysis of the Amino Acid Usage Characteristic
Prediction of Disease Genes by Amino Acid Usage Similarity Analysis
Test Sets and Evaluation Methods
Results and Discussion
Results of the Leave-One-Out Cross Validation
The Disease-Specific Amino Acid Usage Characteristics
Comparison with Other Similar Methods
Conclusion and Prospect
References
DISCO2: A Comprehensive Peak Alignment Algorithm for Two-Dimensional Gas Chromatography Time-of-Flight Mass Spectrometry
Introduction
Algorithms
Full Alignment
Mixture Similarity
Partial Alignment
Results and Discussion
Experimental Data
Selection of an Optimal $w$ Value
Alignment Performance
Comparison with DISCO
Conclusions
References
Prediction of Human Proteins Interacting with Human Papillomavirus Proteins
Introduction
Representation and Algorithm
Support Vector Machine
Data Set of Interacting Proteins
Feature Vector
Results
Conclusion
References
Comparison of Data-Merging Methods with SVM Attribute Selection and Classification in Breast Cancer Gene Expression
Introduction
Material and Methods
Dataset and Preprocessing Methods
Principal Variation Component Analysis (PVCA)
Classification
Validation Methods
Pathway Analysis
Results
Data Merging Validation
Data Merging Verification
Patterns of Pathway Deregulation
Discussion
References
Evolving Gene Regulatory Networks: A Sensitivity-Based Approach
Introduction
The Proposed Approach
Experiments and Results
Conclusions
References
Intelligent Computing in Brain Imaging and Bio-medical Engineering
Blind Testing of Quasi Brain Deaths Based on Analysis of EEG Energy
Introduction
Empirical Mode Decomposition
Experiments and Results
EEG Experiments
Empirical Mode Decomposition of Two Patients
The EEG Power Spectrum of Each Patient
Conclusions
References
Connectivity Analysis of Hippocampus in Alzheimer's Brain Using Probabilistic Tractography
Introduction
Related Works
Data Set and Analysis Method
Analysis Results
Conclusion and Future Works
References
A PACE Sensor System with Machine Learning-Based Energy Expenditure Regression Algorithm
Introduction
PACE Sensor System
Machine Learning-Based Energy Expenditure Regression Algorithm
Experimental Design and Results
Selected Features and Energy Expenditure Performance by GRNN
Conclusions
References
Intelligent Computing in Computational Biology and Drug Design
A Faster Haplotyping Algorithm Based on Block Partition, and Greedy Ligation Strategy
Introduction
Preliminary Definitions
Methods
Step 1: Block Partitioning with Overlap
Step 2: Haplotyping in Each Block
Step 3: Ligating among Blocks
Complexity Analysis
Results and Discussion
Real Data
Simulated Data
Conclusion
References
Intelligent Computing in Pattern Recognition
An Effective ECG Arrhythmia Classification Algorithm
Introduction
Methods
Feature Extraction and Normalization
Feature Reduction Method
Probabilistic Neural Network Classifier
Results and Discussion
Feature Dimension Reduction
Feature Reduction Method Comparison
Conclusion
References
Special Session on Sparse Representation-Based Machine Learning
A New Subspace Approach for Face Recognition
Introduction
Nearest Feature Classifiers
Face Recognition Based on FS Classification
Experimental Results
Extend Yale B
Georgia Tech (GT) Database
Conclusions
References
Special Session on Bio-inspired Computing
A Novel DE-ABC-Based Hybrid Algorithm for Global Optimization
Introduction
DEABC Algorithm
Backgrounds of ABC and DE
The Hybrid DEABC Algorithm
Experiment Setting and Benchmark Problems
Experiment Results
Conclusions and Future Work
References
A Discrete Artificial Bee Colony Algorithm for TSP Problem
Introduction
The Basic Artificial Bee Colony Algorithm
Discrete Artificial Bee Colony Algorithm for TSP Problem
Experimental Study
Experiment I: The Importance of Parameters: Nse and Limit
Experiment II: The Comparison of DABC and PSO
Conclusions
References
Restoration of Epipolar Line Based on Multi-population Cooperative Particle Swarm Optimization
Introduction
Epipolar Geometry for Binocular Vision
Feature Extraction and Matching
Estimation of F Matrix
Epipolar Line Equation and Initial Value for F Matrix
Nonlinear Optimization Estimation for F Matrix
F Matrix Optimization Based on PSO
Fmatrix Optimization Based on MCPSO
Simulation and Experiment Results
Conclusions
References
Multi-objective Optimization Using BFO Algorithm
Introduction
The Bacterial Foraging Algorithm
Multi-objective Bacterial Foraging Optimization
Experiments and Results
Conclusions and Future Work
References
Special Session on Molecular Diagnosis of Tumor and Tumor Biomarker Discovery
Using 2D Principal Component Analysis to Reduce Dimensionality of Gene Expression Profiles for Tumor Classification
Introduction
Methods
Analysis Framework
Representation of GEP
Two-Dimensional Principal Component Analysis
Experiments
Four Tumor Datasets
Experimental Methods and Parameter Setting
Experimental Results
Conclusions
References
Special Session on Computer Aided Early Diagnosis in Medicine - CAEDiM
3D Virtual Colonoscopy for Polyps Detection by Supervised Artificial Neural Networks
Introduction: Materials and Methods
First Method: 3D ANN Approach
Second Method: 3D ANN Approach
Third Method: ANN Approach
Results and Conclusions
References
Face Recognition System Robust to Occlusion
Introduction
Proposed System
Experimental Results
Conclusion
References
Special Session on Sparse Representation in Bioinformatics
A Pathway-Based Classification Method That Can Improve Microarray-Based Colorectal Cancer Diagnosis
Introduction
Materials and Methods
Data Sets
Classification Method
Experimental Results
Conclusions
References
Structure-Function Relationship in Olfactory Receptors
Introduction
Materials and Methods
Datasets
Amino Acid Properties
Computational Procedure
Local Sequence Effects
Multiple Regression Analysis
Results and Discussion
Relationship between Amino Acid Properties and Change in EC50 upon Mutation: Goldfish OR with Lys Potency
Relationship between Amino Acid Properties and Change in EC50: Mouse OR
Relationship between Amino Acid Properties and Change in EC50 upon Mutation: Human OR
Conclusions
References
First Report of Knowledge Discovery in Predicting Protein Folding Rate Change upon Single Mutation
Introduction
Materials
Dataset Construction and Preprocessing
Accessible Surface Area (ASA)
Methods
Decision Tree Mining Technique
Decision Table Mining Technique
Association Rule Mining Technique
Performance Measure Scores
Results and Discussions
Direct Effects of Wild and Mutant Residues on Knowledge Discovery
Environmental Impacts of Neighboring Residues on Improving Knowledge Discovery
Comparison between Different Mining Techniques
Persistent Strong Rules for Discriminating Folding Rate Change
Knowledge Usefulness for the Instances with Different ASA Ranges
A Web Knowledge Base
Conclusions
References
Detection of Protein Spots from Complex Region on Real Gel Image
Introduction
Marker-Controlled Watershed
Proposed Spot Detection Method
Experiments and Results
Conclusions
References
A Novel Approach to Clustering and Assembly of Large-Scale Roche 454 Transcriptome Data for Gene Validation and Alternative Splicing Analysis
Introduction
Materials and Methods
Results
Conclusions
References
Special Session on Sparse Representation in Bioinformatics
Sparse Maximum Margin Discriminant Analysis for Gene Selection
Introduction
Maximum Margin Criterion
Sparse Maximum Margin Discriminant Analysis for Gene Selection
Experimental Results
Two-Class Classification Experiments
Multi-class Classification Experiments
Conclusions
References
The Models of Dominance-Based Multigranulation Rough Sets
Introduction
Preliminary Knowledge on Rough Sets
Pawlak's Rough Set
Multigranulation Rough Set
Optimistic Multigranulation Rough Set
Pessimistic Multigranulation Rough Set
Dominance-Based Rough Set
Dominance-Based Multigranulation Rough Set
Dominance-Based Optimistic Multigranulation Rough Set
Dominance-Based Pessimistic Multigranulation Rough Set
Conclusions
References
An Intuitionistic Fuzzy Dominance-Based Rough Set
Introduction
Intuitionistic Fuzzy Dominance-Based Rough Set
Intuitionistic Fuzzy Dominance-Based Rough Set in Decision System with Probabilistic Interpretation
Conclusions
References
A Covering-Based Pessimistic Multigranulation Rough Set
Introduction
Preliminary
Covering-Based Multigranulation Rough Set Model
Conclusion
References
A Generalized Multi-granulation Rough Set Approach
Introduction
Multi-granulation Rough Set
A Generalized Multi-Granulation Rough Set
Conclusions
References
Closed-Label Concept Lattice Based Rule Extraction Approach
Introduction
Preliminaries
Closed-Label Concept Lattice
Closed-Label Concept Lattice Based Rule Extraction Approach
Comparison with ID3 Algorithm
Conclusions
References
Special Session on Advances in Particle Swarm Optimization
An Improved Extreme Learning Machine Based on Particle Swarm Optimization
Introduction
Particle Swarm Optimization
The Improved Extreme Learning Machine (IPSO-ELM)
Experiment Results and Discussion
Conclusions
References
Special Session on Advances in Intelligent Information Processing
Neural Network Generalized Inverse of Multi-motor Synchronous System Working on Vector Control Mode
Introduction
The Mathematical Model of Two-Motor Synchronous System and Its Reversibility
The Single Hidden-Layer Feedforward Neural Network System
System Synthesis and Implementation of Controller
Testing
Conclusions
References
Author Index

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