Hendrik Blockeel, Nada Lavra?, Ljup?o Todorovski, Dragan Gamberger




Machine Learning: ECML 2003




Springer Berlin Heidelberg

BOOK (manifestation)

  • Book: 978-3-540-39857-8 (eBook)
  • Book: 978-3-540-20121-2 (Book)

  • Related objects


  • Jožef Stefan Institute
  • University Of Nova Gorica
  • Rudjer Boskovic Institute
  • Leiden University


  • Conference: European Conference On Machine Learning


  • BookChapter: Unambiguous Automata Inference by Means of State-Merging Methods
  • BookChapter: Improving the AUC of Probabilistic Estimation Trees
  • BookChapter: Extended Replicator Dynamics as a Key to Reinforcement Learning in Multi-agent Systems
  • BookChapter: Clustering in Knowledge Embedded Space
  • BookChapter: A Decomposition of Classes via Clustering to Explain and Improve Naive Bayes
  • BookChapter: A New Way to Introduce Knowledge into Reinforcement Learning
  • BookChapter: Using MDP Characteristics to Guide Exploration in Reinforcement Learning
  • BookChapter: Learning Rules to Improve a Machine Translation System
  • BookChapter: Could Active Perception Aid Navigation of Partially Observable Grid Worlds?
  • BookChapter: Next Generation Data Mining Tools: Power Laws and Self-similarity for Graphs, Streams and Traditional Data
  • BookChapter: A Markov Network Based Factorized Distribution Algorithm for Optimization
  • BookChapter: Life Cycle Modeling of News Events Using Aging Theory
  • BookChapter: A Generative Model for Semantic Role Labeling
  • BookChapter: Improvement of the State Merging Rule on Noisy Data in Probabilistic Grammatical Inference
  • BookChapter: Improving Numerical Prediction with Qualitative Constraints
  • BookChapter: Pairwise Preference Learning and Ranking
  • BookChapter: Logistic Model Trees
  • BookChapter: Support Vector Machines with Example Dependent Costs
  • BookChapter: Abalearn: A Risk-Sensitive Approach to Self-play Learning in Abalone
  • BookChapter: From Knowledge-Based to Skill-Based Systems: Sailing as a Machine Learning Challenge
  • BookChapter: Rademacher Penalization over Decision Tree Prunings
  • BookChapter: Classification Approach towards Ranking and Sorting Problems
  • BookChapter: Robust k-DNF Learning via Inductive Belief Merging
  • BookChapter: Improving SVM Text Classification Performance through Threshold Adjustment
  • BookChapter: Scaled CGEM: A Fast Accelerated EM
  • BookChapter: Two-Eyed Algorithms and Problems
  • BookChapter: Visualizations for Assessing Convergence and Mixing of MCMC
  • BookChapter: Evaluation of Topographic Clustering and Its Kernelization
  • BookChapter: A New Pairwise Ensemble Approach for Text Classification
  • BookChapter: On Boosting Improvement: Error Reduction and Convergence Speed-Up
  • BookChapter: Volume under the ROC Surface for Multi-class Problems
  • BookChapter: Ensembles of Multi-instance Learners
  • BookChapter: Combined Optimization of Feature Selection and Algorithm Parameters in Machine Learning of Language
  • BookChapter: Improving Rocchio with Weakly Supervised Clustering
  • BookChapter: Optimising Performance of Competing Search Engines in Heterogeneous Web Environments
  • BookChapter: Color Image Segmentation: Kernel Do the Feature Space
  • BookChapter: Backoff Parameter Estimation for the DOP Model
  • BookChapter: Self-evaluated Learning Agent in Multiple State Games
  • BookChapter: Taking Causality Seriously: Propensity Score Methodology Applied to Estimate the Effects of Marketing Interventions
  • BookChapter: A Two-Level Learning Method for Generalized Multi-instance Problems
  • BookChapter: COllective INtelligence with Sequences of Actions
  • BookChapter: Experiments with Cost-Sensitive Feature Evaluation
  • BookChapter: Optimizing Local Probability Models for Statistical Parsing
  • BookChapter: Iteratively Extending Time Horizon Reinforcement Learning


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

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    27 TRIPLES      18 PREDICATES      28 URIs      12 LITERALS

    Subject Predicate Object
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    3 sg:copyrightHolder Springer-Verlag Berlin Heidelberg
    4 sg:copyrightYear 2003
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    6 sg:editionNumber 1
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    20 sg:language En
    21 sg:license
    22 sg:publisher Springer Berlin Heidelberg
    23 sg:scigraphId ab23ff3ac84f8a2e437cca27c93406b9
    24 sg:subtitle 14th European Conference on Machine Learning, Cavtat-Dubrovnik, Croatia, September 22-26, 2003, Proceedings
    25 sg:title Machine Learning: ECML 2003
    26 rdf:type sg:BookEdition
    27 rdfs:label BookEdition: Machine Learning: ECML 2003

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