Progress in Discovery Science Final Report of the Japanese Discovery Science Project /
Συγγραφή απο Οργανισμό/Αρχή: | |
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Άλλοι συγγραφείς: | , |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2002.
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Έκδοση: | 1st ed. 2002. |
Σειρά: | Lecture Notes in Artificial Intelligence ;
2281 |
Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- 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 Maxwellian Mixture 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.