SRNN: Self-regularized neural network
Sign Up to like & getrecommendations! Published in 2018 at "Neurocomputing"
DOI: 10.1016/j.neucom.2017.07.051
Abstract: Abstract In this work, we address to boost the discriminative capability of deep neural network by alleviating the over-fitting problem. Previous works often deal with the problem of learning a neural network by optimizing one… read more here.
Keywords: self regularized; soft targets; network; wise soft ... See more keywords
Hard and soft targets: the lethality of suicide terrorism
Sign Up to like & getrecommendations! Published in 2018 at "Journal of International Relations and Development"
DOI: 10.1057/jird.2015.25
Abstract: Many scholars have assumed that suicide terrorism is the most lethal form of terrorism. Increasing lethality is important for the terrorists’ expected ability to coerce target states and may explain the increasing popularity of suicide… read more here.
Keywords: lethality suicide; soft targets; terrorism; suicide bombings ... See more keywords
An all-day lidar for detecting soft targets over 100 km based on superconducting nanowire single-photon detectors
Sign Up to like & getrecommendations! Published in 2021 at "Superconductor Science and Technology"
DOI: 10.1088/1361-6668/abd576
Abstract: It is a big challenge for lidar to detect soft targets over long distances in the atmosphere due to the low reflection of soft targets and the strong atmospheric attenuation. In this paper, we propose… read more here.
Keywords: photon; soft targets; day lidar; nanowire single ... See more keywords
Output Regularization With Cluster-Based Soft Targets.
Sign Up to like & getrecommendations! Published in 2023 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2023.3262267
Abstract: While supervised learning of over-parameterized neural networks achieved state-of-the-art performance in image classification, it tends to over-fit the labeled training samples to give inferior generalization ability. Output regularization deals with over-fitting by using soft targets… read more here.
Keywords: soft targets; cluster based; output regularization;