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Intelligent Data Engineering and Automated Learning - IDEAL 2005 6th International Conference, Brisbane, Australia, July 6-8, 2005, Proceedings /
| Clasificación: | Libro Electrónico |
|---|---|
| Autor Corporativo: | |
| Otros Autores: | , , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2005.
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| Edición: | 1st ed. 2005. |
| Colección: | Information Systems and Applications, incl. Internet/Web, and HCI ;
3578 |
| Temas: | |
| Acceso en línea: | Texto Completo |
Tabla de Contenidos:
- 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.