Sentence examples for use of machine learning methods from inspiring English sources

He is currently working on the use of machine learning methods for Big-Data settings in marketing.

Inspired by recent development in the use of machine learning methods, we propose a method for automatically generating accurate and computationally feasible generalized tank models for isothermal, single phase, reservoirs.

Then, it makes use of machine learning methods to identify and classify user behaviors and habits information.

Hansen's most recent research has looked at the use of machine learning methods in problems involving estimation of causal and policy effects.

Moreover, the use of machine learning methods is likely to uncover important factors that may affect the accuracy of the target properties.

Quantitative structure-property relationship (QSPR) represents an important paradigm that allows the prediction of biological and chemical properties of interests as a function of their physicochemical properties through the use of machine learning methods [8 10].

Rather surprisingly, the use of machine learning method in the context of genome-wide data on genetic variants has yielded a relatively limited number of studies until the very recent years (for a systematic literature review, see [ 20]), compared to the large number of machine learning studies on other types of genomic datasets, especially genome-wide gene expression profiles.

State-of-the-art EE systems use a number of machine learning methods, including pipeline approaches (Björne and Salakoski, 2011; Miwa et al., 2010b), dual decomposition-based models (Riedel and McCallum, 2011), stacking-based multiple model integration approaches (Riedel et al., 2011) and search-based models (Vlachos and Craven, 2011).

We use these factors to generate a prediction engine using a variety of machine learning methods and to determine which clinical conditions are most misleading in terms of predicting the outcome of a therapy.

A different strategy would be to choose a random subsample of the dictionary that would allow to use a wider range of machine learning methods such as support vector machines (SVMs) or logistic regression.

However, these models whether use many hand-crafted features case of machine learning methods or use sentence level representation processing a sequence without any correlations between labels in neighborhoods which have great influences on predicting the current label case of deep learning models.