To increase the precision, we use a machine learning-based approach formulating the relation detection as a binary classification problem: each instance (consisting of a pair of entities) is classified either as not-containing a relation or belonging to one of the four-relation classes.
Casting the problem in a binary classification framework, we refer to each protein domain as an instance, with the ith instance consisting of a feature vector x i ∈ [1 × n] and a label y i ∈ {0,1}, with n denoting the feature count.
"Canyon," for instance, consisted of a stuffed bald eagle attached to a canvas.
"Take Out," for instance, consists of a photo-frame shape decorated with a profusion of sprouting tendrils and other swirling, looplike shapes.
The instance consists of a directed graph G="(V,E) with edge-weight w e) (the power needed to transmit a message along e) for every e∈E, node capacity b v) (the battery charge of v) for every v∈V, and a root r.
Feldmann's vaccine, for instance, consists of a livestock pathogen called vesicular stomatitis virus (VSV) in which one gene has been replaced with that for Ebola's surface glycoprotein.
An influenza vaccine called FluMist, for instance, consists of a weakened flu virus that can't grow at 37˚C, the temperature inside the lungs, but that can reproduce in the slightly cooler nose and throat.
The Artaxiad Dynasty's flag, for instance, consisted of a red cloth displaying two eagles gazing at each other, separated by a flower.
The bioinformatics processing in this instance consisted of a BLASTn comparison to all NCBI bacterial genomes (Supplementary Methods).
A model component could for instance consist of a state variable [ 20], an interaction [ 21], or a term in an expression [ 22, 23].
Photographs in newspapers, for instance, consist of an array of dots that are either black or white.
