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    COLT
    2008
    Springer
    117views Machine Learning» more  COLT 2008»
    On the Equivalence of Weak Learnability and Linear Separability: New Relaxations and Efficient Boosting Algorithms
    14 years 1 months ago
    On the Equivalence of Weak Learnability and Linear Separability: New Relaxations and Efficient Boosting Algorithms
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    Boosting algorithms build highly accurate prediction mechanisms from a collection of lowaccuracy predictors. To do so, they employ the notion of weak-learnability. The starting po...
    Shai Shalev-Shwartz, Yoram Singer
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