Progress in discovery science : final report of the Japanese Dicsovery Science Project
Gardado en:
| Autor Principal: | |
|---|---|
| Outros autores: | |
| Formato: | Livre numérique |
| Idioma: | Anglais |
| Publicado: |
Berlin [etc.] :
Springer
[20..].
Cham : Springer Nature |
| Series: | Lecture notes in computer science. Lecture notes in artificial intelligence
2281 |
| Sujets: | |
| Acceso en liña: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
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 |
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| 001 | 948480 | ||
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| 009 | PPN155166522 | ||
| 020 | |a 9783540458845 (PDF) | ||
| 041 | 0 | |a eng | |
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| 082 | |a 006.3 | ||
| 100 | 1 | |a Arikawa, Setsuo, |d 1941- | |
| 245 | 1 | 0 | |a Progress in discovery science : |b final report of the Japanese Dicsovery Science Project |c [edited by] Setsuo Arikawa, Ayumi Shinohara. |
| 260 | |a Berlin [etc.] : |b Springer. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 490 | 0 | |a Lecture notes in computer science. Lecture notes in artificial intelligence |v 2281 |x 1611-3349 |x 2945-9141 | |
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 0 | |a 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. | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 650 | |a Informatique | ||
| 650 | |a Algorithmes | ||
| 650 | |a Intelligence artificielle | ||
| 650 | |a Exploration de données | ||
| 650 | |a Acquisition des connaissances (systèmes experts) | ||
| 650 | |a Recherche | ||
| 650 | |a Perception des structures | ||
| 650 | |a Informatique documentaire | ||
| 700 | 1 | |a Shinohara, Ayumi. |4 pbd | |
| 776 | 0 | |0 060408227 |t Progress in discovery science |o final report of the Japanese Dicsovery Science Project |f Setsuo Arikawa, Ayumi Shinohara, (eds.) |c New York, N.Y. |n Springer |d 2002 |p 1 vol. (XIV-684 p.) |s Lecture notes in computer science |z 3-540-43338-4 | |
| 776 | 0 | |t Progress in Discovery Science |b Texte imprimé |z 9783662169506 | |
| 856 | 4 | |q PDF |u https://doi.org/10.1007/3-540-45884-0 |z Accès sur la plateforme de l'éditeur | |
| 856 | 4 | |u https://revue-sommaire.istex.fr/ark:/67375/8Q1-PDP25QGD-C |z Accès sur la plateforme Istex | |
| 856 | 4 | |5 452349901:74805958X |u https://ezproxy.univ-orleans.fr/login?url=https://doi.org/10.1007/3-540-45884-0 |z Accès Université d'Orléans | |
| 856 | 4 | |5 180339901:751511102 |u https://ezproxy.insa-cvl.fr/login?qurl=https://doi.org/10.1007/3-540-45884-0 |z Accès INSA CVL | |
| 997 | |0 948480 |1 Livre numérique |a Ressource numérique |b INSA |b ENSA |c 0/Bibliothèque numérique/ |c 1/Bibliothèque numérique/Autre ressource numérique/ | ||

