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Discovery Science 11th International Conference, DS 2008, Budapest, Hungary, October 13-16, 2008, Proceedings /
This book constitutes the refereed proceedings of the 11th International Conference on Discovery Science, DS 2008, held in Budapest, Hungary, in October 2008, co-located with the 19th International Conference on Algorithmic Learning Theory, ALT 2008. The 26 revised long papers presented together wit...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor Corporativo: | |
| Otros Autores: | , , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2008.
|
| Edición: | 1st ed. 2008. |
| Colección: | Lecture Notes in Artificial Intelligence,
5255 |
| Temas: | |
| Acceso en línea: | Texto Completo |
Tabla de Contenidos:
- Invited Papers
- On Iterative Algorithms with an Information Geometry Background
- Visual Analytics: Combining Automated Discovery with Interactive Visualizations
- Some Mathematics Behind Graph Property Testing
- Finding Total and Partial Orders from Data for Seriation
- Computational Models of Neural Representations in the Human Brain
- Learning
- Unsupervised Classifier Selection Based on Two-Sample Test
- An Empirical Investigation of the Trade-Off between Consistency and Coverage in Rule Learning Heuristics
- Learning Model Trees from Data Streams
- Empirical Asymmetric Selective Transfer in Multi-objective Decision Trees
- Ensemble-Trees: Leveraging Ensemble Power Inside Decision Trees
- A Comparison between Neural Network Methods for Learning Aggregate Functions
- Feature Selection
- Smoothed Prediction of the Onset of Tree Stem Radius Increase Based on Temperature Patterns
- Feature Selection in Taxonomies with Applications to Paleontology
- Associations
- Deduction Schemes for Association Rules
- Constructing Iceberg Lattices from Frequent Closures Using Generators
- Discovery Processes
- Learning from Each Other
- Comparative Evaluation of Two Systems for the Visual Navigation of Encyclopedia Knowledge Spaces
- A Framework for Knowledge Discovery in a Society of Agents
- Learning and Chemistry
- Active Learning for High Throughput Screening
- An Efficiently Computable Graph-Based Metric for the Classification of Small Molecules
- Mining Intervals of Graphs to Extract Characteristic Reaction Patterns
- Clustering
- Refining Pairwise Similarity Matrix for Cluster Ensemble Problem with Cluster Relations
- Input Noise Robustness and Sensitivity Analysis to Improve Large Datasets Clustering by Using the GRID
- An Integrated Graph and Probability Based Clustering Framework for Sequential Data
- Cluster Analysis in Remote Sensing Spectral Imagery through Graph Representation and Advanced SOM Visualization
- Structured Data
- Mining Unordered Distance-Constrained Embedded Subtrees
- Finding Frequent Patterns from Compressed Tree-Structured Data
- A Modeling Approach Using Multiple Graphs for Semi-Supervised Learning
- Text Analysis
- String Kernels Based on Variable-Length-Don't-Care Patterns
- Unsupervised Spam Detection by Document Complexity Estimation
- A Probabilistic Neighbourhood Translation Approach for Non-standard Text Categorisation.