Author: Kshirsagar, Meghana; Carbonell, Jaime; Klein-Seetharaman, Judith
Title: Multitask learning for host–pathogen protein interactions Document date: 2013_7_1
ID: sdgt2ms5_63
Snippet: Independent models with pathway features (Indep. Path.): This baseline incorporates the pathway information from the pathway vectors p i as features. For each example i, the feature vector is appended by the pathway vector p i . While our method uses the pathway vectors only for the positive class examples (via the matrices P s and P t ), this baseline uses the pathway information for all examples via features. The performance of this baseline wi.....
Document: Independent models with pathway features (Indep. Path.): This baseline incorporates the pathway information from the pathway vectors p i as features. For each example i, the feature vector is appended by the pathway vector p i . While our method uses the pathway vectors only for the positive class examples (via the matrices P s and P t ), this baseline uses the pathway information for all examples via features. The performance of this baseline will indicate whether using raw pathway information without incorporating any biologically relevant coupling does well. We learn independent models for each task as before, and find that logistic regression with ' 1 regularization does the best (only these results are reported).
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