Browsing Electronic Engineering and Computer Science by Title
Now showing items 1053-1072 of 3424
-
EvoGrad: Efficient Gradient-Based Meta-Learning and Hyperparameter Optimization
(2021-01-01)Gradient-based meta-learning and hyperparameter optimization have seen significant progress recently, enabling practical end-to-end training of neural networks together with many hyperparameters. Nevertheless, existing ... -
Evolution of Directed Triangle Motifs in the Google+ OSN
Motifs are a fundamental building block and distinguishing feature of networks. While characteristic motif distribution have been found in many networks, very little is known today about the evolution of network motifs. ... -
The evolution of distributed computing systems: from fundamental to new frontiers
(Springer, 2021-01-30)Distributed systems have been an active field of research for over 60 years, and has played a crucial role in computer science, enabling the invention of the Internet that underpins all facets of modern life. Through ... -
Evolutionary multi-objective training set selection of data instances and augmentations for vocal detection
(2019-04-24)© Springer Nature Switzerland AG 2019. The size of publicly available music data sets has grown significantly in recent years, which allows training better classification models. However, training on large data sets is ... -
Evolving Mario levels in the latent space of a deep convolutional generative adversarial network
(2018-07-02)© 2018 Copyright held by the owner/author(s). Generative Adversarial Networks (GANs) are a machine learning approach capable of generating novel example outputs across a space of provided training examples. Procedural ... -
Evolving the process of a virtual composer
(Springer, 2016-06-03) -
An Exact Near-Field Model Based Localization for Bistatic MIMO Radar with COLD arrays
(Institute of Electrical and Electronics Engineers, 2023-07-12)Most existing near-field (NF) source localization algorithms are developed based on the Fresnel approximation model, and assume that the spatial amplitudes of the target at the sensors are equal. Unlike these algorithms, ...