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  • Produktbild: Progress in Discovery Science
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Band 2281

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

Aus der Reihe Lecture Notes in Artificial Intelligence

49,99 €

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

06.03.2002

Abbildungen

XIV, 684 p.

Herausgeber

Setsuo Arikawa + weitere

Verlag

Springer Berlin

Seitenzahl

684

Maße (B/H)

15,5/23,5 cm

Gewicht

1042 g

Auflage

2002

Sprache

Englisch

ISBN

978-3-540-43338-5

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

06.03.2002

Abbildungen

XIV, 684 p.

Herausgeber

Verlag

Springer Berlin

Seitenzahl

684

Maße (B/H)

15,5/23,5 cm

Gewicht

1042 g

Auflage

2002

Sprache

Englisch

ISBN

978-3-540-43338-5

Herstelleradresse

Springer-Verlag GmbH
Heidelberger Platz 3
14197 Berlin
Deutschland
Email: sdc-bookservice@springer.com
Url: www.springer.com
Telephone: +49 30 827870
Fax: +49 30 8214091

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  • Produktbild: Progress in Discovery Science
  • Produktbild: Progress in Discovery Science
  • 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.