Computational intelligence and bioinformatics : international conference on intelligent computing, ICIC 2006 Kunming, China, August 16-19, 2006, proceedings, part III
著者
書誌事項
Computational intelligence and bioinformatics : international conference on intelligent computing, ICIC 2006 Kunming, China, August 16-19, 2006, proceedings, part III
（Lecture notes in computer science, 4115 . Lecture notes in bioinformatics）
Springer, 2006
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注記
Includes bibliographical references and index
内容説明・目次
内容説明
This book constitutes the refereed proceedings of the International Conference on Intelligent Computing, ICIC 2006, held in Kunming, China, in August 2006. The book presents 165 revised full papers, carefully reviewed. Topics covered include ant colony optimization, particle swarm optimization, swarm intelligence, autonomy-oriented computing, quantum and molecular computations, biological and DNA computing, intelligent computing in bioinformatics, intelligent computing in computational biology and drug design, computational genomics and proteomics, and more.
目次
Ant Colony Optimisation.- A Constrained Ant Colony Algorithm for Image Registration.- A Novel ACO Algorithm with Adaptive Parameter.- Study of Parametric Relation in Ant Colony Optimization Approach to Traveling Salesman Problem.- Ant Colony System for Optimizing Vehicle Routing Problem with Time Windows (VRPTW).- Particle Swarm Optimisation.- A Hybrid Particle Swarm Optimization for Binary CSPs.- A New Hybrid Algorithm of Particle Swarm Optimization.- A Novel Particle Swarm Optimizer Using Optimal Foraging Theory.- A Smart Particle Swarm Optimization Algorithm for Multi-objective Problems.- Adaptive Particle Swarm Optimization with Feedback Control of Diversity.- An Improved Particle Swarm Algorithm and Its Application to Power System Transfer Capability Optimization.- An Improved Particle Swarm Optimization Algorithm with Disturbance Term.- Blending Scheduling Under Uncertainty Based on Particle Swarm Optimization with Hypothesis Test.- Fixed Parameter Estimation Method Using Gaussian Particle Filter.- Improving Quantum-Behaved Particle Swarm Optimization by Simulated Annealing.- Optimization of a Child Restraint System by Using a Particle Swarm Algorithm.- Predicted-Velocity Particle Swarm Optimization Using Game-Theoretic Approach.- Solving the Hard Knapsack Problems with a Binary Particle Swarm Approach.- Swarm Intelligence.- Collective Behavior of an Anisotropic Swarm Model Based on Unbounded Repulsion in Social Potential Fields.- Combining Particle Swarm Optimization and Neural Network for Diagnosis of Unexplained Syncope.- Parameter Estimation Approach in Groundwater Hydrology Using Hybrid Ant Colony System.- Route-Exchange Algorithm for Combinatorial Optimization Based on Swarm Intelligence.- Stability Analysis of Swarm Based on Double Integrator Model.- Autonomy-Oriented Computing.- Interest Based Negotiation Automation.- Quantum and Molecular Computations.- Phase Transition of a Skeleton Model for Surfaces.- Biological and DNA Computing.- A Novel Approach Model for Chinese Postman Problem.- DNA Computing Model of the Integer Linear Programming Problem Based on Molecular Beacon.- DNA Computing Processor: An Integrated Scheme Based on Biochip Technology for Performing DNA Computing.- General DNA Automaton Model with R/W Tape.- Interpolated Hidden Markov Models Estimated Using Conditional ML for Eukaryotic Gene Annotation.- Predicting Melting Temperature (Tm) of DNA Duplex Based on Neural Network.- Programmable Pushdown Store Base on DNA Computing.- Research on the Counting Problem Based on Linear Constructions for DNA Coding.- RNA Secondary Structure Prediction with Simple Pseudoknots Based on Dynamic Programming.- Template Frame for DNA Computing.- A New DNA-Based Approach to Solve the Maximum Weight Clique Problem.- A New DNA Encoding Method for Traveling Salesman Problem.- Computational Design Approach to Hydrodynamic Focusing in a Flow Cytometer.- Intelligent Computing in Bioinformatics.- A Biometric Encryption Approach Incorporating Fingerprint Indexing in Key Generation.- A General Solution for the Optimal Superimposition of Protein Structures.- A Personalized Biological Data Management System Based on BSML.- An Automatic Nematode Identification Method Based on Locomotion Patterns.- An Efficient Attribute Ordering Optimization in Bayesian Networks for Prognostic Modeling of the Metabolic Syndrome.- Analysis and Simulation of Synchronization for Large Scale Networks.- Detection of Basal Cell Carcinoma by Automatic Classification of Confocal Raman Spectra.- Clustering Gene Expression Data for Periodic Genes Based on INMF.- Feature Selection for Microarray Data Analysis Using Mutual Information and Rough Set Theory.- Feature Subset Selection for Protein Subcellular Localization Prediction.- Fuzzy k-Nearest Neighbor Method for Protein Secondary Structure Prediction and Its Parallel Implementation.- Gene Selection Based on Mutual Information for the Classification of Multi-class Cancer.- Gene Selection by Cooperative Competition Clustering.- Genetic Algorithm and Neural Network Based Classification in Microarray Data Analysis with Biological Validity Assessment.- Inferring Species Phylogenies: A Microarray Approach.- Penalized Independent Component Discriminant Method for Tumor Classification.- Practical Linear Space Algorithms for Computing String-Edit Distances.- Prediction of Protein Complexes Based on Protein Interaction Data and Functional Annotation Data Using Kernel Methods.- Prediction of Transmembrane Proteins from Their Primary Sequence by Support Vector Machine Approach.- Protein Subcellular Location Prediction Based on Pseudo Amino Acid Composition and Immune Genetic Algorithm.- SPDBS: An SBML-Based Biochemical Pathway Database System.- Supervised Inference of Gene Regulatory Networks by Linear Programming.- Intelligent Computing in Computational Biology and Drug Design.- Double Optimization for Design of Protein Energy Function.- Efficient Solution of Bidomain Equations in Simulation of Cardiac Excitation Anisotropic Propagation.- Analysis of Numerical Solutions to Stochastic Age-Dependent Population Equations.- Computational Genomics and Proteomics.- Classifying G-Protein Coupled Receptors with Hydropathy Blocks and Support Vector Machines.- HSPPIP: An Online Tool for Prediction of Protein-Protein Interactions in Humans.- Prediction of Ribosomal -1 Frameshifts in the Escherichia coli K12 Genome.- Using a Stochastic AdaBoost Algorithm to Discover Interactome Motif Pairs from Sequences.- Web Service for Predicting Interacting Proteins and Application to Human and HIV-1 Proteins.- Artificial Life and Artificial Immune Systems in Intelligent Computing.- An Immunity-Based Dynamic Multilayer Intrusion Detection System.- Immunity and Mobile Agent Based Grid Intrusion Detection.- Immune-Based Peer-to-Peer Model for Anti-spam.- NASC: A Novel Approach for Spam Classification.- Prediction Algorithms in Large Scale VOD Network Collaborations.- Special Session on Bio-oriented and Bio-inspired Information Systems.- A Computational Korean Lexical Access Model Using Artificial Neural Network.- An Artificial Retina Chip Using Switch-Selective Resistive Network for Intelligent Sensor Systems.- An Efficient Feedback Canceler for Hearing Aids Based on Approximated Affine Projection.- Robust Real-Time Face Detection Using Hybrid Neural Networks.- The Novel Feature Selection Method Based on Emotion Recognition System.- Unsupervised Feature Extraction for the Representation and Recognition of Lip Motion Video.- Special Session on Novel Applications of Knowledge Discovery on Bioinformatics.- A Novel Method for Expanding Current Annotations in Gene Ontology.- Identifying the Modular Structures in Protein Interaction Networks.- An Analysis of Gene Expression Relationships Between Periodically Expressed Genes in the Hela Cells.- Analysis of Sib-Pair IBD Profiles Using Ensemble Decision Tree Approach: Application to Alcoholism.- Association Research on Potassium Channel Subtypes and Functional Sites.- Nonequilibrium Model for Yeast Cell Cycle.- Tissue Classification Using Gene Expression Data and Artificial Neural Network Ensembles.
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