Selected article for: "logistic regression and support vector"

Author: Kshirsagar, Meghana; Carbonell, Jaime; Klein-Seetharaman, Judith
Title: Multitask learning for host–pathogen protein interactions
  • Document date: 2013_7_1
  • ID: sdgt2ms5_61
    Snippet: Independent models (Indep.): We train models independently on each task using two standard classifiers: Support Vector Machines and Logistic regression with ' 1 and ' 2 regularization. We used LibLinear (Fan et al., 2008) for these experiments and found that logistic regression with ' 1 regularization performs the i222 best across all tasks. For conciseness, we report only the best model's performance......
    Document: Independent models (Indep.): We train models independently on each task using two standard classifiers: Support Vector Machines and Logistic regression with ' 1 and ' 2 regularization. We used LibLinear (Fan et al., 2008) for these experiments and found that logistic regression with ' 1 regularization performs the i222 best across all tasks. For conciseness, we report only the best model's performance.

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