Discrete neighborhood representations and modified stacked generalization methods for distributed regression. Monge, R.; Allende, H.; Allende-Cid, H.; and Moraga, C. R. Journal of Universal Computer Science, 21(6):842-855, 2015.
abstract   bibtex   
© J.UCSWhen distributed data sources have different contexts the problem of Distributed Regression becomes severe. It is the underlying law of probability that constitutes the context of a source. A new Distributed Regression System is presented, which makes use of a discrete representation of the probability density functions (pdfs). Neighborhoods of similar datasets are detected by comparing their approximated pdfs. This information supports an ensemble-based approach, and the improvement of a second level unit, as it is the case in stacked generalization. Two synthetic and six real data sets are used to compare the proposed method with other state-of-the-art models. The obtained results are positive for most datasets.
@article{84937821640,
    abstract = "© J.UCSWhen distributed data sources have different contexts the problem of Distributed Regression becomes severe. It is the underlying law of probability that constitutes the context of a source. A new Distributed Regression System is presented, which makes use of a discrete representation of the probability density functions (pdfs). Neighborhoods of similar datasets are detected by comparing their approximated pdfs. This information supports an ensemble-based approach, and the improvement of a second level unit, as it is the case in stacked generalization. Two synthetic and six real data sets are used to compare the proposed method with other state-of-the-art models. The obtained results are positive for most datasets.",
    number = "6",
    year = "2015",
    title = "Discrete neighborhood representations and modified stacked generalization methods for distributed regression",
    volume = "21",
    keywords = "Context-aware regression , Distributed machine learning , Similarity representation",
    pages = "842-855",
    journal = "Journal of Universal Computer Science",
    author = "Monge, Raúl and Allende, Héctor and Allende-Cid, Héctor and Moraga, Claudio R."
}
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