A machine learning approach for online IPC controller selection based on wind features

The convexity hull defects are also used for anthropometrical features extraction, then the support vector machine (SVM) will be applied for gender classification.. Cluster

We used the area under the ROC curve (AUROC) [66] and average precision [67] to evaluate the performance of the models... As a proof of concept and to be able to assess the effect of

Like the face recognition and the natural language processing examples, most works discussing multi-task learning (Caruana 1997) construct ad-hoc combinations justified by a

Over the last 10–15 years Web 2.0 services and social media have shown huge growth, for example, in January 2017 the number of active accounts of Facebook was

The task of entity linking consists in disambiguating named entities occurring in textual data by linking them to an identifier in a knowledge base that represents the real-world

Goljan, “Digital Camera Identification from Sensor Pattern Noise”, IEEE Transactions on Information Forensics and Security,

Discriminative Restricted Boltzmann Machines appear to yield slightly better accuracy than Support Vector Machines, and are less sensitive to the choice of signal preprocessing

In order to create a new efficient predictive model of semiconductor failures based on machine learning, we designed and implemented four models based on the most used