Sentence examples for multivariate pattern recognition from inspiring English sources

Multivariate pattern recognition methods are increasingly being used to identify multiregional brain activity patterns that collectively discriminate one cognitive condition or experimental group from another, using fMRI data.

We then applied a multivariate pattern recognition analysis (MVPA) using a support vector machine algorithm and could successfully classify changes in GM volume between the learning period and the post-learning period with a total accuracy of 80.43% (Fig. 5).

In the first part of this review we reported an overview on these procedures and described the applications of chemometric uni- and bivariate techniques and of multivariate pattern recognition techniques based on variable reduction to the experimental results obtained.

This study was designed to investigate the light effect on biosynthesis of antioxidant phenolic compounds by Inonotus obliquus grown in submerged cultures using 1H NMR spectroscopy combining multivariate pattern recognition strategies.

The combination of attenuated total reflectance fourier transform mid-infrared spectrometry (ATR FTMIR) and multivariate pattern recognition is presented as a fast and convenient methodology to ascertain the source product an oil slick comes from and to evaluate the extent of its weathering.

The sensor system incorporates an array of ceramic-metal (cermet) gas microsensors with multivariate pattern recognition techniques and represents a rugged, light-weight, and low-cost solution to analysis problems that would otherwise need to be addressed with multiple conventional electrochemical sensors.

The approach rests on three pillars: (i) the use of multivariate pattern-recognition techniques to develop brain signatures for clinical outcomes and relevant mental processes; (ii) assessment and optimization of their diagnostic value; and (iii) a program of broad exploration followed by increasingly rigorous assessment of generalizability across samples, research contexts and populations.

Having identified these potential groups through multivariate pattern-recognition analysis, we examined the actual data for coordinated functional group responses in more detail; selected groups are shown in Figure 3, which represents the percentage difference compared with controls (that is, directly equivalent to fold change).

The SIMCA14.1 software package (Umetrics, Umea, Sweden) was used for multivariate variable pattern recognition analysis: principal component analysis (PCA), partial least squares discriminant analysis (PLS-DA), and orthogonal partial least-squares discriminant analysis (OPLS-DA).

Quantitative chemometrics is based on continuous mathematics and the major areas in this field include multivariate calibration, pattern recognition, mathematical mixture resolution, etc.

In particular, multivariate analysis (pattern recognition analysis) of proton NMR spectra can generate metabolite profiles of tissues [12], [13].