Progress in Discovery Science Final Report of the Japanese Discovery Science Project /

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Arikawa, Setsuo (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Shinohara, Ayumi (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2002.
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.