Sentence examples for statistical learning techniques from inspiring English sources

Both my mentor and PI worked closely with me on a cutting-edge project focused on implementing statistical learning techniques to epigenetic gene expression patterns.

To solve this extension of the MDVRP, we propose a hybrid approach that combines statistical learning techniques with a metaheuristic framework.

Based on two samples of high quality personality data for chief executive officers (CEOs), we use linguistic features extracted from conferences calls and statistical learning techniques to develop a measure of CEO personality in terms of the Big Five traits: agreeableness, conscientiousness, extraversion, neuroticism, and openness to experience.

Statistical learning techniques have fallen into two broad categories.

To identify characteristic miRNA fingerprints that could be used for classification of the samples as OvCA or controls we used statistical learning techniques, especially SVMs with different kernels, as described above.

Furthermore different similarity measures and possible extensions and hybridizations with statistical learning techniques are elaborated on as well.

Bowman has developed an advanced statistical learning technique to analyze brain imaging data, drawing from a large cohort of patients.

Based on the previous work, we also employ another (nonlinear) statistical learning technique, Diffusion Maps, that detects computational redundancy in time and hence accelerate the simulation by projective time integration, giving the overall computation a "patch dynamics" flavor.

If each processor can share some global information about the simulation from a coarse, limited accuracy but relatively costless auxiliary simulator we can effectively fill-in the missing spatial data at the required times by a statistical learning technique – multi-level Gaussian process regression, on the fly; this has been demonstrated in previous work [1].

LDA is a supervised statistical learning technique which –unlike unsupervised methods such as cluster analysis– makes use of a priori knowledge on which observation belongs to which group.

We performed an exploratory analysis using a multivariate statistical learning technique known as support vector machine; this, however, did not yield any significant findings, suggesting that group-level differences do not necessarily allow accurate inferences at the level of the individual disorder.