Sentence examples for learning methods to learn from inspiring English sources

A number of studies propose machine learning methods to learn influence models and parameters [13 15].

They provide learning methods to learn influence parameters in the topic-aware models from real-world data.

They provide maximum-likelihood based learning method to learn influence parameters in these topic-aware models.

In this paper, we propose a simple and efficient iterative quantization binary codes (IQBC) feature learning method to learn a discriminative binary face descriptor in the data-driven way.

MetaDBSite used support vector machine (SVM) learning method to learn and test the data.

Whenever a dataset is subdivided in k groups (see question c), as samples were for instance taken from k sites or treated with k different protocols, another suitable data mining strategy is to apply supervised machine-learning methods to learn to approximate a relationship between metabolic profiles to the k categories (Hastie et al., 2009).

Because each of these broad approaches to intervention is likely to involve the use of more than one intervention technique with different mechanisms of action (for example, setting goals, learning effective methods to learn new information, and repeated practice), these approaches can also be regarded as essentially 'multi-component' interventions.

If you want to learn similar memorization methods to learn dates, presidents, etc. Be sure to look into Jerry Lucas' publication, "Learning How to Learn" (c 2001.

The most commonly applied VS methods are molecular docking, pharmacophore identification and ligand similarity (including shape based), along with a variety of machine learning methods that "learn" to differentiate actives from inactives based on known data [18, 19].

It could be shown that (1) using substrate pretreatment-specific biogas production of a biogas plant can be improved and that (2) machine learning methods can learn to measure important process values out of UV/vis and MIR spectroscopic measurements.

Multi-label multiple kernel learning methods often learn a composite kernel for each binary label and thus have a complexity linear to the number of labels.