Committee polyhedral separability: complexity and polynomial approximation

Результат исследований: Вклад в журналСтатьяНаучно-исследовательскаярецензирование

1 цитирование (Scopus)
Язык оригиналаАнглийский
Страницы (с-по)231-251
Число страниц21
ЖурналMachine Learning
Том101
Номер выпуска1-3
DOI
СостояниеОпубликовано - окт 2015

Ключевые слова

    Предметные области ASJC Scopus

    • Artificial Intelligence

    Цитировать

    @article{c376f56d00c148028648d842a49ab51d,
    title = "Committee polyhedral separability: complexity and polynomial approximation",
    keywords = "Polyhedral separability, Affine committees, Computational complexity, Approximability, ALGORITHM, MAJORITY, NP",
    author = "Michael Khachay",
    year = "2015",
    month = "10",
    doi = "10.1007/s10994-015-5505-0",
    language = "English",
    volume = "101",
    pages = "231--251",
    journal = "Machine Learning",
    issn = "0885-6125",
    publisher = "Kluwer Academic Publishers",
    number = "1-3",

    }

    Committee polyhedral separability: complexity and polynomial approximation. / Khachay, Michael.

    В: Machine Learning, Том 101, № 1-3, 10.2015, стр. 231-251.

    Результат исследований: Вклад в журналСтатьяНаучно-исследовательскаярецензирование

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    KW - Approximability

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    KW - NP

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