Adaptive and Natural Computing Algorithms 9th International Conference, ICANNGA 2009, Kuopio, Finland, April 23-25, 2009, Revised Selected Papers

Bibliographic Details
Other Authors: Kolehmainen, Ville (Editor), Toivanen, Pekka (Editor), Beliczynski, Bartlomiej (Editor)
Format: eBook
Language:English
Published: Berlin, Heidelberg Springer Berlin Heidelberg 2009, 2009
Edition:1st ed. 2009
Series:Theoretical Computer Science and General Issues
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • Hough and Fuzzy Hough Transform in Music Tunes Recognition Systems
  • Bioinformatics
  • Multiple Order Gradient Feature for Macro-Invertebrate Identification Using Support Vector Machines
  • Bayesian Dimension Reduction Models for Microarray Data
  • Gene Selection for Cancer Classification through Ensemble of Methods
  • Applications
  • Rules versus Hierarchy: An Application of Fuzzy Set Theory to the Assessment of Spatial Grouping Techniques
  • A Novel Signal-Based Approach to Anomaly Detection in IDS Systems
  • Extracting Discriminative Features Using Non-negative Matrix Factorization in Financial Distress Data
  • Evolutionary Regression Modeling with Active Learning: An Application to Rainfall Runoff Modeling
  • Gene Trajectory Clustering for Learning the Stock Market Sectors
  • Accurate Prediction of Financial Distress of Companies with Machine Learning Algorithms
  • Approximation Scheduling Algorithms for Solving Multi-objects Movement Synchronization Problem
  • Simulation Studies on a Genetic Algorithm Based Tomographic Reconstruction Using Time-of-Flight Data from Ultrasound Transmission Tomography
  • Estimation of Sensor Network Topology Using Ant Colony Optimization
  • Learning
  • Scalability of Learning Impact on Complex Parameters in Recurrent Neural Networks
  • A Hierarchical Classifier with Growing Neural Gas Clustering
  • A Generative Model for Self/Non-self Discrimination in Strings
  • On the Efficiency of Swap-Based Clustering
  • Sum-of-Squares Based Cluster Validity Index and Significance Analysis
  • Supporting Scalable Bayesian Networks Using Configurable Discretizer Actuators
  • String Distances and Uniformities
  • Emergent Future Situation Awareness: A Temporal Probabilistic Reasoning in the Absence of Domain Experts
  • Efficient Hold-Out for Subset of Regressors
  • Improving Optimistic Exploration in Model-Free Reinforcement Learning
  • Emission Analysis of a Fluidized Bed Boiler by Using Self-Organizing Maps
  • Network Security Using Growing Hierarchical Self-Organizing Maps
  • On Document Classification with Self-Organising Maps
  • Evolutionary Computation
  • A Heuristic Procedure with Guided Reproduction for Constructing Cocyclic Hadamard Matrices
  • Tuning of Large-Scale Linguistic Equation (LE) Models with Genetic Algorithms
  • Elitistic Evolution: An Efficient Heuristic for Global Optimization
  • Solving the Multiple Sequence Alignment Problem Using Prototype Optimization with Evolved Improvement Steps
  • Grid-Oriented Scatter Search Algorithm
  • Agent-Based Gene Expression Programming for Solving the RCPSP/max Problem
  • Feature Selection from Barkhausen Noise Data Using Genetic Algorithms with Cross-Validation
  • Time-Dependent Performance Comparison of Evolutionary Algorithms
  • Multiobjective Genetic Programming for Nonlinear System Identification
  • NEAT in HyperNEAT Substituted with Genetic Programming
  • Improving Visualization, Scalability and Performance of Multiclass Problems with SVM Manifold Learning
  • A Cat-Like Robot Real-Time Learning to Run
  • Controlling the Experimental Three-Tank System via Support Vector Machines
  • Feature-Based Clustering for Electricity Use Time Series Data
  • The Effect of Different Forms of Synaptic Plasticity on Pattern Recognition in the Cerebellar Cortex
  • Soft Computing
  • Fuzzy Inference Systems for Efficient Non-invasive On-Line Two-Phase Flow Regime Identification
  • Machine Tuning of Stable Analytical Fuzzy Predictive Controllers
  • Crisp Classifiers vs. Fuzzy Classifiers: A Statistical Study
  • Efficient Model Predictive Control Algorithm with Fuzzy Approximations of Nonlinear Models
  • Dynamic Classifier Systems and Their Applications to Random Forest Ensembles
  • A Fuzzy Shape Descriptor and Inference by Fuzzy Relaxation with Application to Description of Bones Contours at Hand Radiographs
  • Neural Networks
  • Automatic Discriminative Lossy Binary Conversion of Redundant Real Training Data Inputs for Simplifying an Input Data Space and Data Representation
  • On Tractability of Neural-Network Approximation
  • Handling Incomplete Data Using Evolution of Imputation Methods
  • Ideas about a Regularized MLP Classifier by Means of Weight Decay Stepping
  • Connection Strategies in Associative Memory Models with Spiking and Non-spiking Neurons
  • Some Enhancements to Orthonormal Approximation of 2D Functions
  • Shortest Common Superstring Problem with Discrete Neural Networks
  • A Methodology for Developing Nonlinear Models by Feedforward Neural Networks
  • A Predictive Control Economic Optimiser and Constraint Governor Based on Neural Models
  • Computationally Efficient Nonlinear Predictive Control Based on RBF Neural Multi-models
  • Parallel Implementations of Recurrent Neural Network Learning
  • Growing Competitive Network for Tracking Objects in Video Sequences
  • Automatic Segmentation of Bone Tissue in X-Ray Hand Images
  • Automatic Morphing of Face Images
  • A Comparison Study of Strategies for Combining Classifiers from Distributed Data Sources
  • Visualizing Time Series State Changes with Prototype Based Clustering