Sentence examples for based methods to classify from inspiring English sources

In[3, 5], the authors propose nearest-neighbor based methods to classify a signal f ∈ R N to one of m known signals given projection measurements of the form y = A f + n ∈ R K for K≤N, where A ∈ R K × N is a known projection operator and n ∼ N 0, σ 2 I is the additive Gaussian noise.

I x) represents an indicator function as follows: We propose an angular distance based method to classify the transient gene expression under constant light conditions.

Existing brain network-based methods to classify subjects analyze data from a cross-sectional study and these methods cannot classify subjects based on longitudinal data.

Lee et al. [72] (cold strip application) and [70] (hot strip application) used wavelet-based methods to classify 8 types and 24 types of defects, respectively.

More recent applications tend to be mostly based on supervised machine learning methods to classify words as PHI or not PHI, and in different classes of PHI in the former case.

Because single protein-coding or rRNA transcript-tags from a putative microorganism were frequently encountered, our confidence in taxonomic assignment increased by employing bioinformatics methods to classify organisms based on both types of transcripts.

We developed a new algorithm 'expression signatures' (see Materials and Methods) to classify compounds based on differential gene expression modulation.

To assist in these efforts, we have developed genomics methods to classify tumors based on patterns of functional oncogenic alterations and to identify cell lines that most closely resemble tumors (Ciriello et al., 2013; Domcke, Sinha, et al., 2013).

Most traditional computational methods to classify SAPs are based on sequential or structural features.

We are also developing methods to classify new patient samples based on the identified contextual features.

Based on these features, we developed a series of machine learning methods to classify T4S effectors and non-effectors.