For such, the first step is the creation of metabase, or metadataset, containing metafeatures extracted from several datasets along with the performance of a pool of candidate algorithm(s). The next step is the induction of machine learning metamodels using the metabase as input. These models...
This gives us a baseline that we can use for a comparison with future methods. At first, several time series meta-features are calculated for each time series in a data set and are saved as a meta-feature data set. Although it is presented in the context of meta-learning, the guide...
New AI features for Ray-Ban Meta glasses help you remember things, translate speech in real time, answer questions about things you’re seeing and more.
Social casino games have done well at integrating engaging mini games into their titles. These can be triggered when your players reach a certain stage of your game, for instance. You can definitely learn a lesson or two from DoubleDown on this. In game, they’ve added new purchase packages...
machine learning approaches can give results with a low computational cost. For image processing tasks, there are different types of traditional feature extraction techniques but here we have used deep features from five pre-trained convolutional neural networks (CNNs) which are GoogLeNet8, ResNet189...
Identifying the trends and features of metaknowledge will help scholars track knowledge through topics. This paper designs a new methodology to make it in
Simulation-based optimization of geometry parameters is an inherent and important stage of microwave design process. To ensure reliability, the optimization process is normally carried out using full-wave electromagnetic (EM) simulation tools, which enta
In this study, we set up a machine learning-based approach to identify which genomic regions distinguish SARS-CoV-2 and other high case fatality rate coronaviruses from other coronaviruses. Discriminative scores were obtained for every nucleotide in the SARS-CoV-2 genome. We then performed a ...
Supervised and unsupervised learning classifiers methods were produced for the classification task, and PBIA was considered not as useful as OBIA to classify very high-resolution (VHR) images, until recently, after deep learning-based methods were started to be explored for pixel-based semantic ...
When this setting is disabled, all external apps and websites loaded from Salesforce can access the user’s camera and microphone. For Camera and Microphone, select when requests from Salesforce can access the browser feature. For the most granular control over access to this browser feature, ...