Progress in discovery science : final report of the Japanese Dicsovery Science Project
محفوظ في:
| المؤلف الرئيسي: | |
|---|---|
| مؤلفون آخرون: | |
| التنسيق: | Livre numérique |
| اللغة: | Anglais |
| منشور في: |
Berlin [etc.] :
Springer
[20..].
Cham : Springer Nature |
| سلاسل: | Lecture notes in computer science. Lecture notes in artificial intelligence
2281 |
| الموضوعات: | |
| الوصول للمادة أونلاين: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| ملاحظة: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Progress in discovery science, final report of the Japanese Dicsovery Science Project, Setsuo Arikawa, Ayumi Shinohara, (eds.), New York, N.Y., Springer, 2002, 1 vol. (XIV-684 p.), Lecture notes in computer science, 3-540-43338-4 • Progress in Discovery Science, Texte imprimé, 9783662169506 |
جدول المحتويات:
- Searching for Mutual Exclusion Algorithms Using BDDs
- Reducing Search Space in Solving Higher-Order Equations
- The Structure of Scientific Discovery: From a Philosophical Point of View
- Ideal Concepts, Intuitions, and Mathematical Knowledge Acquisitions in Husserl and Hilbert
- Theory of Judgments and Derivations
- Efficient Data Mining from Large Text Databases
- A Computational Model for Children s Language Acquisition Using Inductive Logic Programming
- Some Criterions for Selecting the Best Data Abstractions
- Discovery of Chances Underlying Real Data
- Towards the Integration of Inductive and Nonmonotonic Logic Programming
- EM Learning for Symbolic-Statistical Models in Statistical Abduction
- Refutable/Inductive Learning from Neighbor Examples and Its Application to Decision Trees over Patterns
- Constructing a Critical Casebase to Represent a Lattice-Based Relation
- On Dimension Reduction Mappings for Approximate Retrieval of Multi-dimensional Data
- Rule Discovery from fMRI Brain Images by Logical Regression Analysis
- A Theory of Hypothesis Finding in Clausal Logic
- Efficient Data Mining by Active Learning
- Data Compression Method Combining Properties of PPM and CTW
- Discovery of Definition Patterns by Compressing Dictionary Sentences
- On-Line Algorithm to Predict Nearly as Well as the Best Pruning of a Decision Tree
- Finding Best Patterns Practically
- Classification of Object Sequences Using Syntactical Structure
- Top-Down Decision Tree Boosting and Its Applications
- Extraction of Primitive Motion and Discovery of Association Rules from Human Motion Data
- Algorithmic Aspects of Boosting
- Automatic Detection of Geomagnetic Jerks by Applying a Statistical Time Series Model to Geomagnetic Monthly Means
- Application of Multivariate MaxwellianMixture Model to Plasma Velocity Distribution
- Inductive Thermodynamics from Time Series Data Analysis
- Mining of Topographic Feature from Heterogeneous Imagery and Its Application to Lunar Craters
- Application of Neural Network Technique to Combustion Spray Dynamics Analysis
- Computational Analysis of Plasma Waves and Particles in the Auroral Region Observed by Scientific Satellite
- A Flexible Modeling of Global Plasma Profile Deduced from Wave Data
- Extraction of Signal from High Dimensional Time Series: Analysis of Ocean Bottom Seismograph Data
- Foundations of Designing Computational Knowledge Discovery Processes
- Computing Optimal Hypotheses Efficiently for Boosting
- Discovering Polynomials to Fit Multivariate Data Having Numeric and Nominal Variables
- Finding of Signal and Image by Integer-Type Haar Lifting Wavelet Transform
- In Pursuit of Interesting Patterns with Undirected Discovery of Exception Rules
- Mining from Literary Texts: Pattern Discovery and Similarity Computation
- Second Difference Method Reinforced by Grouping: A New Tool for Assistance in Assignment of ComplexMolecular Spectra
- Discovery of Positive and Negative Knowledge in Medical Databases Using Rough Sets
- Toward the Discovery of First Principle Based Scientific Law Equations
- A Machine Learning Algorithm for Analyzing String Patterns Helps to Discover Simple and Interpretable Business Rules from Purchase History
- Constructing Inductive Applications by Meta-Learning with Method Repositories
- Knowledge Discovery from Semistructured Texts
- Packet Analysis in Congested Networks
- Visualization and Analysis of Web Graphs
- Knowledge Discovery in Auto-tuning Parallel Numerical Library
- Extended Association Algorithm Based on ROC Analysis for Visual Information Navigator
- WWW Visualization Tools for Discovering Interesting Web Pages
- Scalable and Comprehensible Visualization for Discovery of Knowledge from the Internet
- Meme Media for Re-editing and Redistributing Intellectual Assets and Their Application to Interactive Virtual Information Materialization.