Feature selection has emerged as a craft, using which we boost the performance of our learning model.Feature or Attribute Selection is a data preprocessing technique, where only the most Emergency Brake Assembly informative features are considered and given to the predictor.This reduces the computational overhead and improves the correctness of the
Bell inequalities are an important tool in device-independent quantum information processing because their violation can serve as a certificate of relevant quantum properties.Probably the best known example of a Bell inequality is due to Clauser, Horne, Shimony and Holt Accessories (CHSH), which is defined in the simplest scenario involving two dic
Penelitian ini bertujuan untuk mengungkap faktor-faktor yang mempengaruhi teknik dasar passing dalam permainan sepakbola.Jenis penelitian yang digunakan dalam penelitian ini bersifat kuantitatif dengan penggunaan metode deskriptif survei.Sampel berasal dari siswa kelas VII SMPN 1 Klari (n=45).Instrumen untuk mengungkap faktor-faktor yang mempengaru
Machine learning techniques such as artificial neural networks are seeing increased use in the examination of communication network research questions.Central to many of these research questions is the need to classify packets and improve visibility.Multi-Layer Perceptron (MLP) neural networks and Convolutional Neural Networks (CNNs) have been used