Selected article for: "human bacteria and ppi task prediction problem"

Author: Kshirsagar, Meghana; Carbonell, Jaime; Klein-Seetharaman, Judith
Title: Multitask learning for host–pathogen protein interactions
  • Document date: 2013_7_1
  • ID: sdgt2ms5_21
    Snippet: Our objective is to minimize the empirical error on the training data while favoring models that are biased toward the commonality hypothesis. To achieve this, we use a bias term in the form of a regularizer in our objective function. For brevity and without loss of generality, we will henceforth refer to each human-bacteria PPI prediction problem as a 'task' (We will also refer to a task by the name of the bacterial species only, as the host spe.....
    Document: Our objective is to minimize the empirical error on the training data while favoring models that are biased toward the commonality hypothesis. To achieve this, we use a bias term in the form of a regularizer in our objective function. For brevity and without loss of generality, we will henceforth refer to each human-bacteria PPI prediction problem as a 'task' (We will also refer to a task by the name of the bacterial species only, as the host species, i.e. human, is common across all tasks).

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