Balancing False Positives and False Negatives What is the F1-score and why is it useful

Keywords: Feedforward neural network, complexity, information complexity, neural complexity, radial basis functions, RBF networks, learning. 1. Introduction. Feb 28, 2024 ... Intellectualization, cybersecurity, biometric image, deepfake, information technology, neural networks, detection system, instrumental platform, ... Aug 3, 2021 ... In our study the hypothesis is tested on data taken from Warsaw Stock Exchange in 2007–2009 years. The hypothesis is tested by predictive ... same ink serve more than one informational purpose. Using large ... Physics-Informed Neural Networks for Anomaly Detection: A Practitioner's Guide ... Apr 17, 2019 ... ... learning (AL) framework to select most informative samples for training our model using a Bayesian neural network. Informative samples are ... Klinkner, K.L., Shalizi, C.R., Camperi, M.F. Measuring shared information and coordinated activity in neuronal networks (2005). Advances in Neural Information ... ... informational methods. The role of informational methods is to model ... Mechanical modeling; neural network; column-base connection; composed modeling ... Information integration is a measure, developed by Tononi and co-researchers, of the capacity for dynamic neural networks to be in informational states ... May 1, 2020 ... This review presents a survey on deep learning for multimodal data fusion to provide readers, regardless of their original community, with the fundamentals. Here we employ an information-decomposition framework to investigate neural networks performing cognitive tasks. Our results show that synergy increases as ...