Sentence examples for based on feature frequency from inspiring English sources
We extract content-specific features based on feature frequency and classifier information gain.
Background: Our methodology describes a human activity recognition framework based on feature extraction and feature selection techniques where a set of time, statistical and frequency domain features taken from 3-dimensional accelerometer sensors are extracted.
> The consensus phylogeny for Campylobacter genomes was obtained from 16S genes aligned with MUSCLE (Edgar 2004) and using Neighbor-Joining and maximum-likelihood (ML) methods; and from the full proteome, using an alignment-free method based on protein feature frequency profiles (Jun et al. 2010).
The panel composition of each GWAS study is important because there are between-panel differences in the selection strategies for panel membership, based on features such as minor allele frequency, linkage disequilibrium and location (e.g. genic vs inter-genic), and all of these may impact on the annotation proportions.
Many modern speech bandwidth extension techniques predict the high-frequency band based on features extracted from the lower band.
The algorithm takes a multiscale context-dependent approach to segment images based on features extracted from wavelet coeffcients in high frequency bands.
Our neural network model can classify energy efficient data structures based on features such as the number of elements, frequency of operations, interface and set/bag semantics.
The program adopted a LogitBoost procedure to make prediction based on features such as position-specific elements, TFBS, and k-mer frequencies.
Algorithms based on features usually extract significant and stable features.
In this paper, an effective and efficient compound-identification approach is proposed based on the frequency features of mass spectra.
This consists in randomly perturbing the dataset many times, running LASSO on those perturbed datasets and combining the successive regressions to obtain importance scores for each feature, based on the frequency with which they are selected in the successive LASSO runs.
