Intelligent Data Engineering and Automated Learning - IDEAL 2005 6th International Conference, Brisbane, Australia, July 6-8, 2005. Proceedings /

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Gallagher, Marcus (Επιμελητής έκδοσης), Hogan, James P. (Επιμελητής έκδοσης), Maire, Frederic (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2005.
Σειρά:Lecture Notes in Computer Science, 3578
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • Data Mining and Knowledge Engineering
  • EXiT-B: A New Approach for Extracting Maximal Frequent Subtrees from XML Data
  • Synthetic Environment Representational Semantics Using the Web Ontology Language
  • New Rules for Hybrid Spatial Reasoning
  • Using Pre-aggregation for Efficient Spatial Query Processing in Sensor Environments
  • Model Trees for Classification of Hybrid Data Types
  • Finding Uninformative Features in Binary Data
  • Knowledge Reduction of Rough Set Based on Partition
  • Multiresolution Analysis of Connectivity
  • Kernel Biased Discriminant Analysis Using Histogram Intersection Kernel for Content-Based Image Retrieval
  • Unsupervised Image Segmentation Using Penalized Fuzzy Clustering Algorithm
  • Multi-attributes Image Analysis for the Classification of Web Documents Using Unsupervised Technique
  • Automatic Image Annotation Based on Topic-Based Smoothing
  • A Focused Crawler with Document Segmentation
  • An Intelligent Grading System Using Heterogeneous Linguistic Resources
  • Probabilistic Data Generation for Deduplication and Data Linkage
  • Mining Job Logs Using Incremental Attribute-Oriented Approach
  • Dimensional Reduction of Large Image Datasets Using Non-linear Principal Components
  • Classification by Instance-Based Learning Algorithm
  • Analysis/Synthesis of Speech Signals Based on AbS/OLA Sinusoidal Modeling Using Elliptic Filter
  • Robust Model Adaptation Using Mean and Variance Transformations in Linear Spectral Domain
  • Using Support Vector Machine for Modeling of Pulsed GTAW Process
  • Design of Simple Structure Neural Voltage Regulator for Power Systems
  • EEG Source Localization for Two Dipoles in the Brain Using a Combined Method
  • Intelligent Control of Micro Heat Exchanger with Locally Linear Identifier and Emotional Based Controller
  • Identification of Anomalous SNMP Situations Using a Cooperative Connectionist Exploratory Projection Pursuit Model
  • Learning Algorithms and Systems
  • Neural Networks: A Replacement for Gaussian Processes?
  • A Dynamic Merge-or-Split Learning Algorithm on Gaussian Mixture for Automated Model Selection
  • Bayesian Radial Basis Function Neural Network
  • An Empirical Study of Hoeffding Racing for Model Selection in k-Nearest Neighbor Classification
  • Designing an Optimal Network Using the Cross-Entropy Method
  • Generating Predicate Rules from Neural Networks
  • Improving Ensembles with Classificational Cellular Automata
  • A Gradient BYY Harmony Learning Algorithm on Mixture of Experts for Curve Detection
  • A Novel Anomaly Detection Using Small Training Sets
  • Induction of Linear Decision Trees with Real-Coded Genetic Algorithms and k-D Trees
  • Intelligent Predictive Control of a 6-Dof Robotic Manipulator with Reliability Based Performance Improvement
  • Sequential Search for Decremental Edition
  • Bearing Similarity Measures for Self-organizing Feature Maps
  • Efficient Spatial Clustering Algorithm Using Binary Tree
  • Cluster Analysis of High-Dimensional Data: A Case Study
  • Universal Clustering with Family of Power Loss Functions in Probabilistic Space
  • Circular SOM for Temporal Characterisation of Modelled Gene Expressions
  • Recursive Self-organizing Map as a Contractive Iterative Function System
  • Differential Priors for Elastic Nets
  • Graphics Hardware Implementation of the Parameter-Less Self-organising Map
  • Weighted SOM-Face: Selecting Local Features for Recognition from Individual Face Image
  • SOM-Based Novelty Detection Using Novel Data
  • Multi-level Document Classifications with Self-organising Maps
  • Bioinformatics
  • Predictive Vaccinology: Optimisation of Predictions Using Support Vector Machine Classifiers
  • Evolving Neural Networks for the Classification of Malignancy Associated Changes
  • Matching Peptide Sequences with Mass Spectra
  • Extraction by Example: Induction of Structural Rules for the Analysis of Molecular Sequence Data from Heterogeneous Sources
  • A Multi-population ? 2 Test Approach to Informative Gene Selection
  • Gene Selection of DNA Microarray Data Based on Regularization Networks
  • Application of Mixture Models to Detect Differentially Expressed Genes
  • A Comparative Study of Two Novel Predictor Set Scoring Methods
  • Deriving Matrix of Peptide-MHC Interactions in Diabetic Mouse by Genetic Algorithm
  • SVM Based Prediction of Bacterial Transcription Start Sites
  • Exploiting Sequence Dependencies in the Prediction of Peroxisomal Proteins
  • Protein Fold Recognition Using Neural Networks and Support Vector Machines
  • Agents and Complex Systems
  • Support Tool for Multi-agent Development
  • A Hybrid Agent Architecture for Modeling Autonomous Agents in SAGE
  • Toward Transitive Dependence in MAS
  • An Architecture for Multi-agent Based Self-adaptive System in Mobile Environment
  • Autonomous and Dependable Recovery Scheme in UPnP Network Settings
  • A Transitive Dependence Based Social Reasoning Mechanism for Coalition Formation
  • A Multi-agent Based Context Aware Self-healing System
  • Combining Influence Maps and Cellular Automata for Reactive Game Agents
  • Patterns in Complex Systems Modeling
  • Global Optimization Using Evolutionary Algorithm Based on Level Set Evolution and Latin Square
  • Co-evolutionary Rule-Chaining Genetic Programming
  • A Dynamic Migration Model for Self-adaptive Genetic Algorithms
  • Financial Engineering
  • A Multicriteria Sorting Procedure for Financial Classification Problems: The Case of Business Failure Risk Assessment
  • Volatility Modelling of Multivariate Financial Time Series by Using ICA-GARCH Models
  • Volatility Transmission Between Stock and Bond Markets: Evidence from US and Australia
  • A Machine Learning Approach to Intraday Trading on Foreign Exchange Markets.