Sentence examples for supervised framework to from inspiring English sources
Following a strategy similar to [17], we combine these rankings in a supervised framework to draw as much information as possible from these features, so that the resulting ranking should rank high the pairs which are most likely to be connected.
Third, we refine the supervised framework to adjust for sampling bias towards positive cases in the training data, thereby calibrating the prior distribution.
We previously developed a supervised framework to integrate external data sources, including co-expression, genome-wide binding, sequence polymorphism, physical interaction, genetic interaction, and literature curation data [ 18].
To account for external knowledge in the network construction process, Yeung et al. [ 3] introduced a supervised framework to estimate the weights of various types of evidence of transcriptional regulation and subsequently derived top candidate regulators.
Optimal reverse prediction (ORP) has recently been proposed as a semi-supervised framework to unify supervised and unsupervised training methods such as supervised least square, principal component analysis (PCA), k-means clustering and normalized graph-cut.
Similarly using triple images, Zhang et al. propose a supervised learning framework to generate compact and bit-scalable hashing codes directly from raw images [70].
In this paper, we posed the problem of early-detection of promoted trends on social media, discussed the challenges that this problem presents, and proposed a supervised computational framework to attack it.
Our method uses a supervised learning framework to incorporate external data sources.
Tastan et al. (2009) extended the supervised learning framework to predict PPIs between HIV-1 and human proteins.
While the supervised framework was shown to enrich current PPI data with additional inferred PPIs, its applicability is still limited.
The supervised framework is similar to the supervised PCA (SPCA) method first proposed for pathway-based gene expression analysis and GWAS based on traditional PCA [ 19, 25].
