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  • Sampling nested dichotomies for multi-class classification [PDF]

  • Multi-label classification with partial abstention [PDF]
  • Multi-class probability estimation using nested dichotomies [ PDF ]

  • Solving the Container Pre-Marshalling Problem using Machine Learning [ PDF ]
  • Support Vector Classification on Noisy Data using Fuzzy Superset Losses [ PDF ]
  • A Learning-to-Aggregate Approach to Assignment-based Similarity Induction [ PDF ]
  • Feature selection for ranking [ PDF ]
  • Rank Aggregation for Incomplete Rankings [ PDF ]
  • Solving label ranking problems via error-correcting output codes [ PDF ]
  • A critical analysis of the Kappa-measure in machine learning [ PDF ]

  • Data-driven adaptation of weighted rank correlation measures [ PDF ]

  • Machine learning based on analogical proportions [ PDF ]

  • Decentralized on-line machine learning for swarm intelligence systems [ PDF ]
  • Survival analysis on dynamic event streams [ PDF ]
  • An analysis of chaining for multi-target prediction [ PDF ]

  • An empirical analysis of methods for learning from data streams using recovery analysis [ PDF ]

  • Local linear regression through data imprecisiation [ PDF ]

  • Learning fuzzy rules from data streams [ PDF ]

  • Variable importance and feature selection in machine learning: A game-theoretical approach [ PDF ]
  • Predictive modeling of non-functional software properties [ PDF ]
  • Einsatz von Bayesschen Neuronalen Netzen zur Prädiktion von dynamischen Systemen [ PDF ]

 

 

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