Fosca Giannotti, Floriana Esposito, Jean-Fran?ois Boulicaut, Dino Pedreschi




Machine Learning: ECML 2004




Springer Berlin Heidelberg

BOOK (manifestation)

  • Book: 978-3-540-30115-8 (eBook)
  • Book: 978-3-540-23105-9 (Book)

  • Related objects


  • University Of Bari Aldo Moro


  • Conference: European Conference On Machine Learning


  • BookChapter: Iterative Ensemble Classification for Relational Data: A Case Study of Semantic Web Services
  • BookChapter: Justification-Based Selection of Training Examples for Case Base Reduction
  • BookChapter: Real-World Learning with Markov Logic Networks
  • BookChapter: Improving Progressive Sampling via Meta-learning on Learning Curves
  • BookChapter: Strength in Diversity: The Advance of Data Analysis
  • BookChapter: Multi-objective Classification with Info-Fuzzy Networks
  • BookChapter: Filtered Reinforcement Learning
  • BookChapter: Multi-level Boundary Classification for Information Extraction
  • BookChapter: Naive Bayesian Classifiers for Ranking
  • BookChapter: Experiments in Value Function Approximation with Sparse Support Vector Regression
  • BookChapter: Concept Formation in Expressive Description Logics
  • BookChapter: Simultaneous Concept Learning of Fuzzy Rules
  • BookChapter: Bayesian Network Methods for Traffic Flow Forecasting with Incomplete Data
  • BookChapter: Applying Support Vector Machines to Imbalanced Datasets
  • BookChapter: Conditional Independence Trees
  • BookChapter: Associative Clustering
  • BookChapter: The Enron Corpus: A New Dataset for Email Classification Research
  • BookChapter: An Intelligent Model for the Signorini Contact Problem in Belt Grinding Processes
  • BookChapter: Matching Model Versus Single Model: A Study of the Requirement to Match Class Distribution Using Decision Trees
  • BookChapter: An Analysis of Stopping and Filtering Criteria for Rule Learning
  • BookChapter: Document Representation for One-Class SVM
  • BookChapter: An Efficient Method to Estimate Labelled Sample Size for Transductive LDA(QDA/MDA) Based on Bayes Risk
  • BookChapter: Convergence and Divergence in Standard and Averaging Reinforcement Learning
  • BookChapter: Breaking Through the Syntax Barrier: Searching with Entities and Relations
  • BookChapter: Efficient Hyperkernel Learning Using Second-Order Cone Programming
  • BookChapter: Sensitivity Analysis of the Result in Binary Decision Trees
  • BookChapter: Exploiting Unlabeled Data in Content-Based Image Retrieval
  • BookChapter: Using Feature Conjunctions Across Examples for Learning Pairwise Classifiers
  • BookChapter: The Principal Components Analysis of a Graph, and Its Relationships to Spectral Clustering
  • BookChapter: Constructive Induction for Classifying Time Series
  • BookChapter: Learning to Fly Simple and Robust
  • BookChapter: Dynamic Asset Allocation Exploiting Predictors in Reinforcement Learning Framework
  • BookChapter: Random Matrices in Data Analysis
  • BookChapter: Population Diversity in Permutation-Based Genetic Algorithm
  • BookChapter: Methods for Rule Conflict Resolution
  • BookChapter: Sparse Distributed Memories for On-Line Value-Based Reinforcement Learning
  • BookChapter: Analyzing Multi-agent Reinforcement Learning Using Evolutionary Dynamics
  • BookChapter: Estimating Attributed Central Orders
  • BookChapter: Analyzing Sensory Data Using Non-linear Preference Learning with Feature Subset Selection
  • BookChapter: A Boosting Approach to Multiple Instance Learning
  • BookChapter: An Experimental Study of Different Approaches to Reinforcement Learning in Common Interest Stochastic Games
  • BookChapter: Improving Random Forests
  • BookChapter: Fisher Kernels for Logical Sequences
  • BookChapter: Adaptive Online Time Allocation to Search Algorithms
  • BookChapter: SWITCH: A Novel Approach to Ensemble Learning for Heterogeneous Data
  • BookChapter: Effective Voting of Heterogeneous Classifiers
  • BookChapter: Learning from Message Pairs for Automatic Email Answering
  • BookChapter: Feature Selection Filters Based on the Permutation Test
  • BookChapter: Inducing Polynomial Equations for Regression
  • BookChapter: Margin Maximizing Discriminant Analysis
  • BookChapter: Cluster-Grouping: From Subgroup Discovery to Clustering
  • BookChapter: Batch Reinforcement Learning with State Importance
  • BookChapter: Data Privacy
  • BookChapter: Using String Kernels to Identify Famous Performers from Their Playing Style
  • BookChapter: Model Approximation for HEXQ Hierarchical Reinforcement Learning
  • BookChapter: Explicit Local Models: Towards “Optimal” Optimization Algorithms


  • Computer Science
  • Algorithm Analysis And Problem Complexity
  • Mathematical Logic And Formal Languages
  • Database Management
  • Artificial Intelligence (Incl. Robotics)

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    25 TRIPLES      18 PREDICATES      26 URIs      12 LITERALS

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    4 sg:copyrightYear 2004
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    20 sg:publisher Springer Berlin Heidelberg
    21 sg:scigraphId 1561ac9573e762d1489623ff63f8ccf1
    22 sg:subtitle 15th European Conference on Machine Learning, Pisa, Italy, September 20-24, 2004, Proceedings
    23 sg:title Machine Learning: ECML 2004
    24 rdf:type sg:BookEdition
    25 rdfs:label BookEdition: Machine Learning: ECML 2004

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