People with genders outside of the binary prefer using language that matches and affirms their identities. This can pose a challenge to translators who are translating into gendered languages like Arabic or who are from cultures where such identities do
Algorithms and programming Computational thinking Computer science Data and information Digital literacy Functional IT skills Hardware and platforms Software use More Keeping your class engaged with fun and unique teaching resources is vital in helping them reach their potential. On Tes Resources we have ...
In the next section of this tutorial, you’ll be using a subset of the Internet Movie Database (IMDb) to benchmark the performance of a few search algorithms. This dataset is free of charge for personal and non-commercial use. It’s distributed as a bunch of compressed tab-separated valu...
21,24]. In case when one of the input trees is binary we can still use the exact (thusc=1) and approximate (c=3) algorithms given in [13] (referred to asRSPR) to obtain respectively a 4-approximation and a 6-approximation of the hybridization number problem for nonbinary trees. ...
Differential evolution (DE) is one of the most popular and powerful evolutionary algorithms for the real-parameter global continuous optimization problems. However, how to adapt into combinatorial optimization problems without sacrificing the original evolution mechanism of DE is harder work to the researc...
The pattern recognition task depends on classification algorithms, a survey of which is presented in [34]. Nonlinear classifiers, such as ANNs and support vector machines (SVM), have been demonstrated to produce slightly better classification results with respect to linear techniques (as linear ...
Next, the 2D images will be provided into artificial intelligence algorithms for training and testing. The classified patterns will then be stored in a training database to serve the purpose of detecting previously unknown files in real-time. A visual depiction of SAGMAD as the building block ...
needs. This model is able to predict consumer behaviour both in the digital and physical shopping environments. It combines decision trees (DTs) and genetic algorithms (GAs) through one wrapping technique, known as the GA wrapper method. Consumer data from surveys are collected and categorised bas...