Sentence examples for methods and features from inspiring English sources

A proper choice of machine learning methods and features identifies in the large collection strings that are likely to be high quality phrases.

In the audience on the night I went were David Edgar and Patti Love who, respectively, wrote and starred in the play, Mary Barnes (1978), about the artist and writer who famously benefited from Laing's unorthodox methods and features in the current work.

Six classifiers are firstly constructed by four toolkits (CRF++, YamCha, Maximum Entropy (ME) and MALLET) with different training methods and features sets, and then combined with three different hybrid methods respectively: simple set operation method, voting method and two layer stacking method.

The taxonomy will not only provide guidance for the design of effective techniques for phishing detection and prevention in various types of environments, but also facilitate practitioners in evaluating and selecting tools, methods, and features for handling specific types of phishing problems.

This overview of the current state-of-the-art is mainly focused on the methods and features that are used to generate and evaluate 3D video summaries and not so much on the limitations or performance of specific methods.

The book instructs and incites followers to attack the American homeland on their own as lone wolves through readily available methods and features Times Square on the cover.

They can be classified into two categories: area-based methods and feature-based methods.

Ranking method and Friedman's statistical test are also performed to rank and compare different combinations of feature extraction methods and feature selection methods which endorse the efficacy of the proposed approach.

From a methodological perspective, the main idea of numerous methods that have recently been used for object detection and segmentation can be divided into shape-based methods and feature-based methods.

These methods roughly fall into three categories: molecular dynamics (MD) simulations, energy-based methods and feature-based methods.

Additionally, Guyon and Elisseeff elaborated a wide range of aspects in feature selection including a better definition of the objective function, feature construction, feature ranking, multivariate feature selection, efficient search methods and feature validity assessment methods [ 26].