skip to content
Machine learning : proceedings Preview this item
ClosePreview this item

Machine learning : proceedings

Author: Ramón López de Mántaras; ECML (11, 2000, Barcelona)
Publisher: Berlin : Springer, 2000.
Series: Lecture notes in computer science, 1810 : Lecture notes in artificial intelligence.
Edition/Format:   Print book : Conference publication : EnglishView all editions and formats
Publication:Machine Learning: ECML 2000

The biennial European Conference on Machine Learning (ECML) series is intended to provide an international forum for the discussion of the latest high quality research results in machine learning and  Read more...


(not yet rated) 0 with reviews - Be the first.

More like this

Find a copy online

Links to this item

Find a copy in the library

&AllPage.SpinnerRetrieving; Finding libraries that hold this item...


Genre/Form: Conference papers and proceedings
Material Type: Conference publication, Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: Ramón López de Mántaras; ECML (11, 2000, Barcelona)
ISBN: 3540676023 9783540676027
OCLC Number: 174416373
In: López de Mántaras, Ramon
Description: XII, 460 Seiten : Diagramme.
Contents: Invited Papers.- Beyond Occam's Razor: Process-Oriented Evaluation.- The Representation Race - Preprocessing for Handling Time Phenomena.- Contributed Papers.- Short-Term Profiling for a Case-Based Reasoning Recommendation System.- K-SVCR. A Multi-class Support Vector Machine.- Learning Trading Rules with Inductive Logic Programming.- Improving Knowledge Discovery Using Domain Knowledge in Unsupervised Learning.- Exploiting Classifier Combination for Early Melanoma Diagnosis Support.- A Comparison of Ranking Methods for Classification Algorithm Selection.- Hidden Markov Models with Patterns and Their Application to Integrated Circuit Testing.- Comparing Complete and Partial Classification for Identifying Latently Dissatisfied Customers.- Wrapper Generation via Grammar Induction.- Diversity versus Quality in Classification Ensembles Based on Feature Selection.- Minimax TD-Learning with Neural Nets in a Markov Game.- Boosting Applied to Word Sense Disambiguation.- A Multiple Model Cost-Sensitive Approach for Intrusion Detection.- Value Miner: A Data Mining Environment for the Calculation of the Customer Lifetime Value with Application to the Automotive Industry.- Investigation and Reduction of Discretization Variance in Decision Tree Induction.- Asymmetric Co-evolution for Imperfect-Information Zero-Sum Games.- A Machine Learning Approach to Workflow Management.- The Utilization of Context Signals in the Analysis of ABR Potentials by Application of Neural Networks.- Complexity Approximation Principle and Rissanen's Approach to Real-Valued Parameters.- Handling Continuous-Valued Attributes in Decision Tree with Neural Network Modeling.- Learning Context-Free Grammars with a Simplicity Bias.- Partially Supervised Text Classification: Combining Labeled and Unlabeled Documents Using an EM-like Scheme.- Toward an Explanatory Similarity Measure for Nearest-Neighbor Classification.- Relative Unsupervised Discretization for Regression Problems.- Metric-Based Inductive Learning Using Semantic Height Functions.- Error Analysis of Automatic Speech Recognition Using Principal Direction Divisive Partitioning.- A Study on the Performance of Large Bayes Classifier.- Dynamic Discretization of Continuous Values from Time Series.- Using a Symbolic Machine Learning Tool to Refine Lexico-syntactic Patterns.- Measuring Performance when Positives Are Rare: Relative Advantage versus Predictive Accuracy - A Biological Case-Study.- Mining TCP/IP Traffic for Network Intrusion Detection by Using a Distributed Genetic Algorithm.- Learning Patterns of Behavior by Observing System Events.- Dimensionality Reduction through Sub-space Mapping for Nearest Neighbour Algorithms.- Nonparametric Regularization of Decision Trees.- An Efficient and Effective Procedure for Updating a Competence Model for Case-Based Reasoners.- Layered Learning.- Problem Decomposition for Behavioural Cloning.- Dynamic Feature Selection in Incremental Hierarchical Clustering.- On the Boosting Pruning Problem.- An Empirical Study of MetaCost Using Boosting Algorithms.- Clustered Partial Linear Regression.- Knowledge Discovery from Very Large Databases Using Frequent Concept Lattices.- Some Improvements on Event-Sequence Temporal Region Methods.
Series Title: Lecture notes in computer science, 1810 : Lecture notes in artificial intelligence.
Responsibility: ECML 2000, 11th European Conference on Machine Learning, Barcelona, Catalonia, Spain, May 31 - June 2, 2000. Ramón López de Mántaras ... (ed.).


User-contributed reviews
Retrieving GoodReads reviews...
Retrieving DOGObooks reviews...


Be the first.
Confirm this request

You may have already requested this item. Please select Ok if you would like to proceed with this request anyway.

Linked Data

Primary Entity

<> # Machine learning : proceedings
    a schema:Book, schema:CreativeWork ;
    library:oclcnum "174416373" ;
    library:placeOfPublication <> ; # Berlin
    library:placeOfPublication <> ;
    schema:about <> ; # Machine learning
    schema:about <> ; # Machine learning--Congresses
    schema:about <> ; # Machine learning--Congresses--Industrial applications
    schema:about <> ; # Barcelona <2000>
    schema:about <> ; # Maschinelles Lernen
    schema:about <> ;
    schema:about <> ; # Machine learning
    schema:author <> ; # Ramón López de Mántaras
    schema:bookFormat bgn:PrintBook ;
    schema:contributor <> ; # ECML (11, 2000, Barcelona)
    schema:datePublished "2000" ;
    schema:exampleOfWork <> ;
    schema:genre "Kongress" ;
    schema:genre "Conference publication"@en ;
    schema:genre "Conference papers and proceedings" ;
    schema:inLanguage "en" ;
    schema:isPartOf <> ; # Lecture notes in computer science ;
    schema:name "Machine learning : proceedings" ;
    schema:productID "174416373" ;
    schema:publication <> ;
    schema:publisher <> ; # Springer
    schema:url <> ;
    schema:url <> ;
    schema:url <> ;
    schema:workExample <> ;
    umbel:isLike <> ;
    wdrs:describedby <> ;

Related Entities

<> # Barcelona <2000>
    a schema:Place ;
    schema:name "Barcelona <2000>" ;

<> # Lecture notes in computer science ;
    a bgn:PublicationSeries ;
    schema:hasPart <> ; # Machine learning : proceedings
    schema:name "Lecture notes in computer science ;" ;

<> # Machine learning--Congresses
    a schema:Intangible ;
    schema:name "Machine learning--Congresses" ;

<> # Machine learning--Congresses--Industrial applications
    a schema:Intangible ;
    schema:name "Machine learning--Congresses--Industrial applications" ;

<> # Maschinelles Lernen
    a schema:Intangible ;
    schema:name "Maschinelles Lernen" ;

<> # Machine learning
    a schema:Intangible ;
    schema:name "Machine learning" ;

<> # ECML (11, 2000, Barcelona)
    a schema:Organization ;
    schema:name "ECML (11, 2000, Barcelona)" ;

<> # Ramón López de Mántaras
    a schema:Person ;
    schema:familyName "López de Mántaras" ;
    schema:givenName "Ramón" ;
    schema:name "Ramón López de Mántaras" ;

    a schema:ProductModel ;
    schema:isbn "3540676023" ;
    schema:isbn "9783540676027" ;

Content-negotiable representations

Close Window

Please sign in to WorldCat 

Don't have an account? You can easily create a free account.