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Discovery science : 9th international conference, DS 2006, Barcelona, Spain, October 7-10, 2006 ; proceedings

Author: Ljupčo Todorovski; Nada Lavrač; K P Jantke
Publisher: Berlin ; New York : Springer, ©2006.
Series: Lecture notes in computer science, 4265.; Lecture notes in computer science., Lecture notes in artificial intelligence.
Edition/Format:   eBook : Document : Conference publication : EnglishView all editions and formats
Database:WorldCat
Summary:

Constitutes the refereed proceedings of the 9th International Conference on Discovery Science, DS 2006, held in Barcelona, Spain in October 2006, co-located with the 17th International Conference on  Read more...

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Genre/Form: Electronic books
Conference papers and proceedings
Congresses
Additional Physical Format: Print version:
International Conference on Discovery Science (9th : 2006 : Barcelona, Spain).
Discovery science.
Berlin ; New York : Springer, ©2006
(DLC) 2006933944
(OCoLC)73109154
Material Type: Conference publication, Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Ljupčo Todorovski; Nada Lavrač; K P Jantke
ISBN: 9783540464938 354046493X 3540464913 9783540464914
OCLC Number: 262693477
Description: 1 online resource (xiv, 384 pages) : illustrations.
Contents: Invited Papers --
e-Science and the Semantic Web: A Symbiotic Relationship --
Data-Driven Discovery Using Probabilistic Hidden Variable Models --
Reinforcement Learning and Apprenticeship Learning for Robotic Control --
The Solution of Semi-Infinite Linear Programs Using Boosting-Like Methods --
Spectral Norm in Learning Theory: Some Selected Topics --
Long Papers --
Classification of Changing Regions Based on Temporal Context in Local Spatial Association --
Kalman Filters and Adaptive Windows for Learning in Data Streams --
Scientific Discovery: A View from the Trenches --
Optimal Bayesian 2D-Discretization for Variable Ranking in Regression --
Text Data Clustering by Contextual Graphs --
Automatic Water Eddy Detection in SST Maps Using Random Ellipse Fitting and Vectorial Fields for Image Segmentation --
Mining Approximate Motifs in Time Series --
Identifying Historical Period and Ethnic Origin of Documents Using Stylistic Feature Sets --
A New Family of String Classifiers Based on Local Relatedness --
On Class Visualisation for High Dimensional Data: Exploring Scientific Data Sets --
Mining Sectorial Episodes from Event Sequences --
A Voronoi Diagram Approach to Autonomous Clustering --
Itemset Support Queries Using Frequent Itemsets and Their Condensed Representations --
Strategy Diagram for Identifying Play Strategies in Multi-view Soccer Video Data --
Prediction of Domain-Domain Interactions Using Inductive Logic Programming from Multiple Genome Databases --
Clustering Pairwise Distances with Missing Data: Maximum Cuts Versus Normalized Cuts --
Analysis of Linux Evolution Using Aligned Source Code Segments --
Rule-Based Prediction of Rare Extreme Values --
A Pragmatic Logic of Scientific Discovery --
Change Detection with Kalman Filter and CUSUM --
Automatic Recognition of Landforms on Mars Using Terrain Segmentation and Classification --
A Multilingual Named Entity Recognition System Using Boosting and C4.5 Decision Tree Learning Algorithms --
Model-Based Estimation of Word Saliency in Text --
Regular Papers --
Learning Bayesian Network Equivalence Classes from Incomplete Data --
Interesting Patterns Extraction Using Prior Knowledge --
Visual Interactive Subgroup Discovery with Numerical Properties of Interest --
Contextual Ontological Concepts Extraction --
Experiences from a Socio-economic Application of Induction Trees --
Interpreting Microarray Experiments Via Co-expressed Gene Groups Analysis (CGGA) --
Symmetric Item Set Mining Based on Zero-Suppressed BDDs --
Mathematical Models of Category-Based Induction --
Automatic Construction of Static Evaluation Functions for Computer Game Players --
Databases Reduction Simultaneously by Ordered Projection --
Mapping Ontologies in an Air Pollution Monitoring and Control Agent-Based System --
Information Theory and Classification Error in Probabilistic Classifiers --
Checking Scientific Assumptions by Modeling --
Incremental Algorithm Driven by Error Margins --
Feature Construction and?-Free Sets in 0/1 Samples --
Visual Knowledge Discovery in Paleoclimatology with Parallel Coordinates --
A Novel Framework for Discovering Robust Cluster Results --
Gene Selection for Classifying Microarray Data Using Grey Relation Analysis.
Series Title: Lecture notes in computer science, 4265.; Lecture notes in computer science., Lecture notes in artificial intelligence.
Other Titles: DS 2006
Responsibility: Ljupco Todorovski, Nada Lavrac, Klaus P. Jantke (eds.).
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