Discovery Science Second International Conference, DS'99, Tokyo, Japan, December 6-8, 1999 Proceedings /

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Arikawa, Setsuo (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Furukawa, Koichi (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 1999.
Έκδοση:1st ed. 1999.
Σειρά:Lecture Notes in Artificial Intelligence ; 1721
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • Invited Papers
  • The Melting Pot of Automated Discovery: Principles for a New Science
  • Expressive Probability Models in Science
  • Contributed Papers
  • Weighted Majority Decision among Several Region Rules for Scientific Discovery
  • CAEP: Classification by Aggregating Emerging Patterns
  • An Appropriate Abstraction for an Attribute-Oriented Induction
  • Collaborative Hypothesis Testing Processes by Interactive Production Systems
  • Computer Aided Discovery of User's Hidden Interest for Query Restructuring
  • Iterative Naive Bayes
  • Schema Design for Causal Law Mining from Incomplete Database
  • Design and Evaluation of an Environment to Automate the Construction of Inductive Applications
  • Designing Views in HypothesisCreator: System for Assisting in Discovery
  • Discovering Poetic Allusion in Anthologies of Classical Japanese Poems
  • Characteristic Sets of Strings Common to Semi-structured Documents
  • Approximation of Optimal Two-Dimensional Association Rules for Categorical Attributes Using Semidefinite Programming
  • Data Mining of Generalized Association Rules Using a Method of Partial-Match Retrieval
  • Adaptive Sampling Methods for Scaling Up Knowledge Discovery Algorithms
  • Scheduled Discovery of Exception Rules
  • Learning in Constraint Databases
  • Discover Risky Active Faults by Indexing an Earthquake Sequence
  • Machine Discovery Based on the Co-occurrence of References in a Search Engine
  • Smoothness Prior Approach to Explore the Mean Structure in Large Time Series Data
  • Automatic Detection of Geomagnetic Sudden Commencement Using Lifting Wavelet Filters
  • A Noise Resistant Model Inference System
  • A Graphical Method for Parameter Learning of Symbolic-Statistical Models
  • Parallel Execution for Speeding Up Inductive Logic Programming Systems
  • Discovery of a Set of Nominally Conditioned Polynomials
  • H-Map: A Dimension Reduction Mapping for Approximate Retrieval of Multi-dimensional Data
  • Normal Form Transformation for Object Recognition Based on Support Vector Machines
  • Posters
  • A Definition of Discovery in Terms of Generalized Descriptional Complexity
  • Feature Selection Using Consistency Measure
  • A Model of Children's Vocabulary Acquisition Using Inductive Logic Programming
  • Automatic Acquisition of Image Processing Procedures from Sample Sets of Classified Images Based on Requirement of Misclassification Rate
  • "Thermodynamics" from Time Series Data Analysis
  • Developing a Knowledge Network of URLs
  • Derivation of the Topology Structure from Massive Graph Data
  • Mining Association Algorithm Based on ROC Convex Hull Method in Bibliographic Navigation System
  • Regularization of Linear Regression Models in Various Metric Spaces
  • Argument-Based Agent Systems
  • Graph-Based Induction for General Graph Structured Data
  • Rules Extraction by Constructive Learning of Neural Networks and Hidden-Unit Clustering
  • Weighted Majority Decision among Region Rules for a Categorical Dataset
  • Rule Discovery Technique Using GP with Crossover to Maintain Variety
  • From Visualization to Interactive Animation of Database Records
  • Extraction of Primitive Motion for Human Motion Recognition
  • Finding Meaningful Regions Containing Given Keywords from Large Text Collections
  • Mining Adaptation Rules from Cases in CBR Systems
  • An Automatic Acquisition of Acoustical Units for Speech Recognition Based on Hidden Markov Network
  • Knowledge Discovery from Health Data Using Weighted Aggregation Classifiers
  • Search for New Methods for Assignment of Complex Molecular Spectra
  • Automatic Discovery of Definition Patterns Based on the MDL Principle
  • Detection of the Structure of Particle Velocity Distribution by Finite Mixture Distribution Model
  • Mutagenes Discovery Using PC GUHA Software System
  • Discovering the Primary Factors of Cancer from Health and Living Habit Questionnaires.